وظائف مطور قواعد بيانات

<p>We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</p><p>In this role, you design, build, and operate AI-native enterprise applications that combine cloud-native software engineering with production-grade machine learning and agentic AI capabilities, embedded directly within customer environments and fast-moving delivery teams. You translate ambiguous business and operational requirements into secure, scalable, and reliable solutions owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. You are accountable for the technical quality, reliability, and impact of application solutions within your scope and apply modern AI-assisted engineering practices and architectural guardrails aligned with SAP standards to enable responsible and scalable AI adoption.</p><p>In this role, you will:</p><ul><li>Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities such as large language models, retrieval-augmented generation (RAG), and agent-based workflows.</li><li>Embed directly into customer projects and fast-moving cross-functional teams to rapidly understand business processes, technical landscapes, and operational challenges.</li><li>Translate business and product requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability.</li><li>Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures and reusable assets to real-world enterprise constraints.</li><li>Own application delivery end-to-end from problem framing and prototyping through deployment, observability, and production operations.</li><li>Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality solutions.</li><li>Ensure delivery milestones, quality standards, and technical objectives are met, proactively managing risks and technical escalations within scope.</li><li>Act as a key technical interface to customers and internal stakeholders, clearly communicating solution approaches, trade-offs, and progress.</li><li>Contribute to engineering standards, best practices, and reusable components to improve efficiency and consistency across solutions.</li></ul><p>What you bring:</p><p>As market leader in enterprise application software, SAP helps companies of all sizes and industries innovate through simplification. From the back office to the boardroom, warehouse to storefront, on premise to cloud, desktop to mobile device SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable customers to operate profitably, adapt continuously, and grow sustainably.</p><p><strong>Desired Candidate Profile</strong></p><p>We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.</p><p>In this role, you design, build, and operate AI-native enterprise applications that combine cloud-native software engineering with production-grade machine learning and agentic AI capabilities, embedded directly within customer environments and fast-moving delivery teams. You translate ambiguous business and operational requirements into secure, scalable, and reliable solutions owning technical delivery from discovery and prototyping through deployment, stabilization, and successful handover to platform or operations teams. You are accountable for the technical quality, reliability, and impact of application solutions within your scope and apply modern AI-assisted engineering practices and architectural guardrails aligned with SAP standards to enable responsible and scalable AI adoption.</p><p>In this role, you will:</p><ul><li>Design, develop, and operate production-grade, cloud-native enterprise applications integrating AI capabilities such as large language models, retrieval-augmented generation (RAG), and agent-based workflows.</li><li>Embed directly into customer projects and fast-moving cross-functional teams to rapidly understand business processes, technical landscapes, and operational challenges.</li><li>Translate business and product requirements into robust application architectures, balancing speed, quality, security, and long-term maintainability.</li><li>Rapidly prototype, iterate, and productionize solutions in customer environments, adapting reference architectures and reusable assets to real-world enterprise constraints.</li><li>Own application delivery end-to-end from problem framing and prototyping through deployment, observability, and production operations.</li><li>Apply AI-assisted engineering practices, evaluation frameworks, and architectural guardrails to ensure compliant, trustworthy, and high-quality solutions.</li><li>Ensure delivery milestones, quality standards, and technical objectives are met, proactively managing risks and technical escalations within scope.</li><li>Act as a key technical interface to customers and internal stakeholders, clearly communicating solution approaches, trade-offs, and progress.</li><li>Contribute to engineering standards, best practices, and reusable components to improve efficiency and consistency across solutions.</li></ul><p>What you bring:</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Architecture &amp; Modeling Specialist with 6 12+ years of experience to design, develop, and govern enterprise data architecture solutions. The ideal candidate will have strong expertise in data modeling methodologies, modern data platforms, data governance, and data integration patterns. This role requires the ability to define scalable data architectures, develop conceptual/logical/physical data models, and enable data-driven transformation initiatives across the organization. Key Responsibilities Design and implement enterprise data architecture strategies aligned with business and technology objectives. Develop conceptual, logical, and physical data models for enterprise applications and analytical platforms. Create and maintain data models using industry-standard modeling tools. Apply data modeling methodologies including dimensional modeling and Data Vault architecture. Design scalable data warehouse and data lake architectures. Define data architecture standards, principles, and best practices. Collaborate with Data Engineers, BI teams, Data Scientists, and business stakeholders to deliver data solutions. Develop and maintain metadata, data lineage, and data governance frameworks. Support data platform modernization initiatives and cloud data transformation programs. Evaluate and recommend data technologies, tools, and architectural approaches. Ensure data quality, consistency, security, and compliance across enterprise data assets. Required Technical Skills Data Modeling &amp; Architecture Tools Hands-on experience with ERwin or ER/Studio for enterprise data modeling. Strong understanding of conceptual, logical, and physical data modeling principles. Experience creating enterprise-level data models and architecture documentation. Data Modeling Methodologies Strong experience with Data Vault or Kimball dimensional modeling methodologies. Understanding of data warehouse design patterns, star schemas, and enterprise analytics models. Cloud &amp; Enterprise Data Platforms Experience designing data architectures on BigQuery or Snowflake . Experience with large-scale enterprise data platforms and modern data warehouse architectures. Strong understanding of cloud data architecture principles. Data Warehousing Technologies Experience with Teradata and enterprise-scale data warehouse environments. Knowledge of performance optimization, partitioning, and scalable data storage strategies. Data Governance &amp; Metadata Management Hands-on experience with Collibra or Alation for data governance, cataloging, metadata management, and data stewardship. Experience defining data lineage, business glossaries, and governance frameworks. Data Integration &amp; Change Data Capture Experience with CDC (Change Data Capture) tools and real-time data integration patterns. Understanding of data replication, streaming, and integration architectures. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. 6 12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management. Strong understanding of enterprise architecture principles and data strategy. Excellent analytical, problem-solving, and communication skills. Experience working with cross-functional teams in Agile environments. Preferred Skills Experience designing cloud-native data architectures. Knowledge of modern data lakehouse architectures. Familiarity with data governance frameworks and regulatory requirements. Experience with SQL, ETL/ELT concepts, and data integration frameworks. Experience supporting enterprise digital transformation initiatives. Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus. Key Technology Stack Data Modeling Tools: ERwin or ER/Studio Modeling Methodologies: Data Vault or Kimball Cloud Data Platforms: BigQuery or Snowflake Enterprise Data Warehouse: Teradata Data Governance: Collibra or Alation Data Integration: CDC Tools Architecture Practices: Enterprise Data Architecture and Data Governance and Metadata Management and Data Lineage Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field. 6 12+ years of professional experience in Data Architecture, Data Modeling, Data Warehousing, or Enterprise Data Management. Strong understanding of enterprise architecture principles and data strategy. Excellent analytical, problem-solving, and communication skills. Experience working with cross-functional teams in Agile environments. Preferred Skills Experience designing cloud-native data architectures. Knowledge of modern data lakehouse architectures. Familiarity with data governance frameworks and regulatory requirements. Experience with SQL, ETL/ELT concepts, and data integration frameworks. Experience supporting enterprise digital transformation initiatives. Relevant certifications in Data Architecture, Cloud, or Data Governance are a plus.</p><p></p></section>

Job Purpose:<br>The Data Architect is responsible for defining, designing, and governing the enterprise data architecture that supports the organization's data modernization, analytics, and digital transformation initiatives. The role ensures the delivery of scalable, secure, and compliant data platforms, including data warehouses, lakehouse architectures, real-time streaming ecosystems, and data governance frameworks, enabling trusted data-driven decision-making across the enterprise.<br>Key Accountabilities:<br>Define and maintain the enterprise data architecture strategy, standards, principles, and target-state architecture. Design and implement scalable data warehouse, data lake, and lakehouse architectures across on-premises and cloud platforms. Lead conceptual, logical, and physical data modeling activities using industry-standard methodologies. Design batch and real-time data integration architectures to support operational and analytical workloads. Architect streaming and event-driven data platforms using technologies such as Apache Kafka and Change Data Capture (CDC) solutions. Define standards for data governance, master data management, metadata management, data lineage, and data quality. Ensure compliance with data security, privacy, regulatory, and data residency requirements, including banking and regulatory standards. Evaluate emerging technologies, platforms, and architectural patterns to support business and technology objectives. Collaborate with business stakeholders, data engineers, solution architects, and technology teams to define enterprise data solutions. Produce architecture blueprints, standards, solution designs, roadmaps, and technical decision documentation. Review solution designs and technical implementations to ensure alignment with enterprise architecture standards. Support data modernization, cloud migration, and analytics transformation initiatives. Mentor technical teams and provide guidance on architecture best practices and implementation approaches. Contribute to continuous improvement initiatives related to data management, analytics, and enterprise architecture.<br>Minimum Qualifications:<br>Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related discipline. Professional certifications such as TOGAF, Cloudera, Google Cloud, Microsoft Azure, Data Architecture, or equivalent.<br>Minimum Experience:<br>+8 years of experience in Data Engineering, Data Architecture, Analytics Platforms, or Enterprise Data Management. Proven experience designing and delivering enterprise-scale data warehouse and lakehouse solutions. Hands-on experience defining enterprise data architecture strategies and governance frameworks. Experience designing real-time and batch-based integration architectures.<br>Job-Specific Skills:<br>Enterprise Data Architecture. Data Warehouse Architecture and Design. Lakehouse Architecture. Data Lakes and Modern Data Platforms. Cloudera Data Platform. Microsoft Azure and Google Cloud Platform (GCP). Conceptual, Logical, and Physical Data Modeling. Dimensional Modeling. Data Vault Modeling. Data Integration and ETL/ELT Architecture. Real-Time Data Processing. Apache Kafka and Event-Driven Architectures. Change Data Capture (CDC) and Debezium. Data Governance Frameworks. Metadata Management and Data Lineage. Data Quality Management. Master Data Management (MDM). Data Security and Privacy Architecture. Regulatory Compliance and Data Residency Requirements. Banking and Financial Services Data Architecture.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview We are seeking an experienced Data Governance &amp; Management Specialist with 6 12+ years of experience to establish, implement, and manage enterprise data governance frameworks. The ideal candidate will have strong expertise in data governance standards, data quality management, metadata management, master data management, data classification, and privacy practices. This role will support organizations in improving data trust, compliance, accessibility, and business value through effective governance strategies. Key Responsibilities Develop and implement enterprise data governance frameworks aligned with industry standards and business objectives. Establish data governance policies, standards, processes, and operating models. Define data ownership, stewardship models, and governance responsibilities across business and technology teams. Implement data quality management frameworks to improve accuracy, completeness, and reliability of enterprise data. Manage metadata, data cataloging, lineage, and business glossary initiatives. Support Master Data Management (MDM) strategies and implementation. Define and implement data classification and data privacy frameworks. Collaborate with business stakeholders, data owners, security teams, and technology teams to ensure effective data governance. Monitor governance KPIs, data quality metrics, and compliance requirements. Drive adoption of governance practices across enterprise data initiatives. Support regulatory compliance and data protection requirements. Required Technical &amp; Functional Skills Data Governance Frameworks Strong understanding of DAMA-DMBOK or NDMO frameworks and data governance principles. Experience designing and implementing enterprise data governance operating models. Knowledge of data stewardship, ownership, policies, standards, and governance processes. Data Governance Platforms Hands-on experience with Collibra or Alation for: Data catalog management Metadata management Business glossary creation Data lineage tracking Governance workflow management Data Quality Management Experience with Informatica Data Quality (DQ) or comparable data quality tools. Strong understanding of data profiling, validation rules, quality monitoring, and remediation processes. Master Data Management Experience implementing Master Data Management (MDM) frameworks and processes. Understanding of master data domains, golden records, and data synchronization approaches. Data Classification &amp; Privacy Experience with Data Classification and Data Privacy frameworks. Knowledge of sensitive data identification, protection controls, and compliance requirements. Understanding of privacy regulations and enterprise data protection practices. Preferred Skills Experience supporting large-scale data transformation initiatives. Knowledge of cloud data platforms and modern data ecosystems. Familiarity with data security, risk management, and compliance frameworks. Experience establishing Data Governance Centers of Excellence (CoE). Certifications such as CDMP, DAMA, Data Governance, or Privacy certifications are a plus. Key Technology &amp; Capability Stack Data Governance Frameworks: DAMA-DMBOK or NDMO Data Governance Platforms: Collibra or Alation Data Quality: Informatica Data Quality (DQ) and Data Profiling and Quality Monitoring Data Management: Master Data Management (MDM) and Metadata Management and Data Lineage Data Protection: Data Classification and Data Privacy and Compliance Management Governance Practices: Data Ownership and Data Stewardship and Governance Operating Models Share</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Qualifications Bachelor's degree in Computer Science, Information Technology, Data Management, Business Analytics, or a related field. 6 12+ years of experience in Data Governance, Data Management, Data Quality, or Enterprise Data Management. Strong understanding of enterprise data architecture and governance practices. Excellent communication, stakeholder management, and collaboration skills. Experience working with cross-functional teams in enterprise environments.</p><p></p></section>

<p>The Enterprise Data Architect designs, governs, and maintains our organization's enterprise-wide data architecture to support clinical, operational, financial, and analytical needs ensuring healthcare data is structured, integrated, secure, and scalable to enable interoperability, regulatory compliance, and data-driven decision-making. This role plays a strategic part in aligning data architecture with organizational strategy, national data standards, and healthcare regulatory requirements in Saudi Arabia.</p><p>Key Responsibilities</p><p>Enterprise Data Architecture Design</p><ul><li>Define and maintain the enterprise data architecture blueprint (conceptual, logical, physical models)</li><li>Design scalable data platforms supporting HIS, EMR, ERP, data warehouses, and analytics ecosystems</li><li>Establish standards for data modeling, naming conventions, metadata, and data lineage</li></ul><p>Data Integration &amp; Interoperability</p><ul><li>Design data integration frameworks across clinical and administrative systems</li><li>Support standards such as HL7, FHIR, ICD-10, and SNOMED</li><li>Ensure consistency and integrity of master and reference data</li></ul><p>Data Governance &amp; Compliance</p><ul><li>Embed governance, data quality, and privacy-by-design principles into architecture</li><li>Ensure compliance with Saudi PDPL, NDMO, and MOH regulations</li><li>Partner with Data Quality and Data Protection teams</li></ul><p>Analytics &amp; Platform Enablement</p><ul><li>Design architectures supporting BI, advanced analytics, and AI/ML platforms</li><li>Enable enterprise dashboards with trusted data sources</li><li>Support cloud, hybrid, and on-premise architectures per Saudi data residency requirements</li></ul><p>Standards, Documentation &amp; Roadmap</p><ul><li>Maintain data architecture standards, principles, and reference architectures</li><li>Document data flows, system interfaces, and architectural decisions</li><li>Contribute to the enterprise data roadmap</li></ul><p>Advisory &amp; Stakeholder Engagement</p><ul><li>Serve as trusted advisor to IT, analytics, clinical, and business teams</li><li>Review solution designs for architectural alignment</li><li>Support vendor selection and evaluation</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Requirements</h2>Education &amp; Certifications<ul><li>Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field</li><li>TOGAF Certification (highly desirable)</li><li>CDMP Certified Data Management Professional (preferred)</li></ul>Experience<ul><li>8 12 years in data architecture, information architecture, or enterprise data management (healthcare sector preferred)</li><li>Strong knowledge of TOGAF and DAMA-DMBOK frameworks</li><li>Experience with healthcare systems (HIS, EMR, LIS, RIS, ERP)</li><li>Deep understanding of NDMO Data Architecture Domain and Saudi PDPL</li></ul>Skills<ul><li>Strategic planning in healthcare/government sectors</li><li>Strong communication, mediation, and conflict resolution</li><li>Fluency in Arabic and English (verbal &amp; written)</li><li>Proficiency in MS Office (Word, Excel, PowerPoint, Outlook)</li></ul>Location: Saudi Arabia

We are looking for a creative data architect to join our team and contribute to the design and development of innovative data solutions. You will be responsible for building robust and scalable data models, ensuring data integration and accessibility to support strategic decisions. Join us to shape the future of data in our organization.<br><br>* Design and develop robust data infrastructures.<br>* Optimize data flow processes and ensure data quality.<br>* Collaborate with teams to understand data needs and provide appropriate solutions.

<h3><strong>About the Role</strong></h3><p>SmartChoice International GCC, a specialist technology consultancy, is seeking a <strong>Data Architect</strong> to support client engagements in Riyadh, Saudi Arabia. This full-time role focuses on delivering expertise across data architecture, data management, and enterprise architecture initiatives.</p><h3><strong>Role Purpose</strong></h3><p>The Data Architect will be instrumental in helping client organizations define and improve their data architecture. Key responsibilities include establishing effective data standards and practices, and translating diverse business requirements into scalable data structures and robust target-state architectures.</p><h3><strong>Key Responsibilities</strong></h3><ul><li>Design and maintain conceptual and logical data models aligned with business and technology requirements.</li><li>Define and apply data architecture principles, standards, and best practices.</li><li>Map data entities and domains across business capabilities, applications, and underlying data sources.</li><li>Support initiatives across data governance, metadata, data quality, data integration, and master data management (MDM).</li><li>Assess existing data architectures, identify gaps, and contribute to target-state architecture and transformation roadmaps.</li><li>Work with business and technology stakeholders to understand data requirements and translate them into practical architecture solutions.</li><li>Contribute to data architecture documentation, standards, frameworks, and governance processes.</li><li>Support wider enterprise architecture and data management initiatives across client engagements.</li></ul><h3><strong>Candidate Profile</strong></h3><p>The ideal candidate will possess a solid foundation in data architecture and data modelling, coupled with a comprehensive understanding of the wider enterprise environment. This role requires comfort in collaborating across business and technology teams, analysing current-state data landscapes, and defining practical target-state data architectures.</p><h3><strong>Qualifications and Experience</strong></h3><ul><li>Proven experience in data architecture and modelling.</li><li>Ability to work effectively with both business and technology stakeholders.</li><li>Experience in assessing existing data architectures and contributing to transformation roadmaps.</li><li>A minimum of <strong>3-5 years</strong> of relevant professional experience is required.</li></ul><h3><strong>Location and Employment Type</strong></h3><p>This is a <strong>full-time</strong> position based in <strong>Riyadh, Saudi Arabia</strong>. The role involves working within a client-facing consultancy environment.</p>

Role Purpose Lead the advisory engagement supporting the establishment and activation of the Data Management Office (DMO), ensuring alignment with NDMO national data management standards, relevant regulations, and leading practices. Key Responsibilities Lead the current-state assessment and gap analysis of the entity's data management capabilities, and define the target operating model and roadmap. Design the data governance framework, including the government data model, governance structure, roles and responsibilities, policies, and procedures. Establish the DMO's data governance domains in line with NDMO requirements (data governance, data quality, metadata, reference/master data, personal data protection, data lifecycle, and data integration/interoperability). Advise on activating the first data governance cycles and embedding them within the entity's institutional structure to enable an actual operational start within the contract period. Provide technical direction and quality assurance across all deliverables and act as the primary point of alignment with the client's leadership. Required Profileprofessional (3+ years) in data management / data governance, with hands-on experience delivering NDMO-aligned programs in the Saudi public sector; recognized data governance certification (e.g., CDMP) preferred.

<p>Job Description Data Architect Job Title: Data Architect Experience: 8 10 Years / 12 18 Years Employment Type: Full-Time Location: Riyadh, Saudi Arabia (Preferred) / Egypt / Jordan / Pakistan / India Role Overview We are seeking an experienced Data Architect to design, implement, and govern enterprise-scale data architecture solutions that support business transformation and analytics initiatives. The ideal candidate will define enterprise data standards, architecture frameworks, and governance practices while collaborating with business and technology stakeholders to deliver scalable, secure, and high-quality data solutions. Key Responsibilities Design and maintain enterprise data architecture, data models, and data integration frameworks. Define and implement data architecture standards, best practices, and governance principles. Collaborate with business and technical stakeholders to translate business requirements into scalable data solutions. Lead data modeling, data integration, and information management initiatives across the enterprise. Ensure data quality, consistency, security, and compliance across enterprise data platforms. Provide architectural guidance for cloud data platforms, analytics, and modernization programs. Develop enterprise data roadmaps aligned with organizational strategy. Present architecture recommendations and solution designs to business and executive stakeholders.</p><p><strong>Desired Candidate Profile</strong></p><p>Must Have 8 10 years or 12 18 years of experience in Data Architecture , Enterprise Data Management , or a related field. TOGAF and/or DAMA Certification (Mandatory). Strong expertise in: Enterprise Data Architecture Data Governance Data Modeling Master Data Management (MDM) Data Integration Metadata Management Excellent business communication, stakeholder management, and presentation skills. Ability to engage with senior business and technology leadership. Good to Have Experience with cloud data platforms (Azure, AWS, or GCP). Knowledge of Data Warehouse, Data Lake, and Lakehouse architectures. Familiarity with enterprise architecture frameworks and modern data management practices. Experience working in Agile delivery environments.</p>

Data Engineer – Industrial & Refinery Data <br>Experience: 8+ Years Location: Riyadh, KSA<br><br>Key Responsibilities Design and implement real-time and historical data pipelines for refinery data. Integrate process historians, OT systems, laboratory, asset and engineering data. Develop data models and contextual relationships across equipment, tags and process units. Build data validation, reconciliation, monitoring and exception-handling processes. Optimize pipelines for performance, scalability, reliability and security. Prepare high-quality datasets and governed data services for AI/ML, analytics and reporting

<p>The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.</p><p>Key Responsibilities</p><ul><li>Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation. Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment. Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability. Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems. Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles. Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns. Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</p>

<h3 >About the Role</h3> <p >TawanTech is seeking a <strong >Senior Data Engineer</strong> to join our team in Riyadh, Riyadh Province. This full-time role focuses on designing, developing, and optimizing scalable data platforms and pipelines specifically within the banking and financial services domain. The ideal candidate will possess strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems to build robust and secure data solutions.</p> <h3 >Role Contribution</h3> <p >As a Senior Data Engineer, you will be instrumental in creating scalable data solutions that directly support critical business functions. These include regulatory reporting, risk management, customer analytics, and various business intelligence initiatives. Your work will ensure data integrity, security, and compliance across all platforms.</p> <h3 >Key Responsibilities</h3> <ul > <li >Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li> <li >Build and optimize data workflows using Apache Spark and Apache Airflow.</li> <li >Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li> <li >Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li> <li >Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li> <li >Ensure data quality, governance, security, and regulatory compliance across data platforms.</li> <li >Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li> <li >Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li> <li >Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li> <li >Support regulatory reporting, audit requirements, and data lineage initiatives.</li> <li >Mentor junior engineers and contribute to technical architecture and best practices.</li> </ul> <h3 >Essential Qualifications and Experience</h3> <ul > <li >Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li> <li ><strong >4+ years</strong> of hands-on experience in Data Engineering.</li> <li >Strong programming skills in <strong >Python</strong> and advanced <strong >SQL</strong>.</li> <li >Experience with <strong >Apache Spark</strong> for large-scale data processing and <strong >Apache Airflow</strong> for workflow orchestration and scheduling.</li> <li >Solid understanding of Data Warehouse and Data Lake architectures.</li> <li >Proven experience building and maintaining ETL/ELT pipelines.</li> <li >Experience with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li> <li >Strong knowledge of data modeling techniques and performance optimization strategies.</li> <li >Experience implementing CI/CD pipelines and DataOps methodologies.</li> <li >Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li> <li >Excellent problem-solving, analytical, and communication skills.</li> </ul> <h3 >Desirable Skills and Experience</h3> <ul > <li >Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li> <li >Knowledge of financial data governance, security, and compliance standards.</li> <li >Experience with real-time and batch data processing in highly regulated environments.</li> <li >Familiarity with containerization technologies such as Docker and Kubernetes.</li> <li >Experience with data lineage, metadata management, and data quality frameworks.</li> </ul> <h3 >Work Setting</h3> <p >This is a full-time position based in Riyadh, offering an opportunity to contribute to significant data initiatives within the financial sector. Salary details will be discussed during the interview process.</p>

<h3 >About Masterworks</h3> <p >Masterworks is an IT services company committed to delivering effective solutions. The organization is seeking a dedicated professional to join its team in a full-time capacity, focusing on enhancing its data management capabilities and ensuring robust data governance across all operations.</p> <h3 >The Role: Data Management, Specialist</h3> <p >The Data Management, Specialist will play a pivotal role in supporting the effective management, governance, and continuous improvement of organizational data. This position involves contributing to initiatives that enhance data quality, governance, accessibility, and overall data management practices, working closely with both business and technical stakeholders to align data practices with organizational requirements.</p> <h3 >Key Responsibilities</h3> <ul > <li >Support the implementation and continuous improvement of data management practices and frameworks.</li> <li >Support and coordinate data management projects and initiatives across the organization.</li> <li >Develop, maintain, and implement data management policies, procedures, standards, and guidelines.</li> <li >Assess compliance with applicable data management requirements, policies, and controls.</li> <li >Prepare compliance assessments, reports, findings, and recommendations.</li> <li >Support data governance activities and promote effective data management practices across business functions.</li> <li >Collaborate with business, IT, and data stakeholders to identify and address data management requirements and issues.</li> <li >Support initiatives related to data quality, data governance, metadata, data classification, and data lifecycle management.</li> <li >Monitor data management activities and support the identification and resolution of data-related issues.</li> <li >Prepare and present data management reports, updates, and recommendations to relevant stakeholders.</li> <li >Build and maintain strong relationships with internal stakeholders to support data management initiatives.</li> <li >Stay up to date with data management standards, frameworks, and industry best practices.</li> </ul> <h3 >Education and Professional Experience</h3> <ul > <li >Bachelor's degree in Information Technology, Computer Science, Information Systems, Data Management, or a related field.</li> <li >A minimum of <strong >5 years of relevant experience</strong> in data management, data governance, or a related field.</li> </ul> <h3 >Required Skills and Knowledge</h3> <ul > <li >Proven experience in project management and delivering data-related initiatives.</li> <li >Practical experience and strong knowledge of data management principles, processes, and practices.</li> <li >Experience in compliance assessment, monitoring, and reporting.</li> </ul> <h3 >Certifications</h3> <ul > <li >Certified Data Management Professional (CDMP)</li> <li >Certified Information Privacy Manager (CIPM)</li> <li >Certified Information Privacy Technologist (CIPT)</li> </ul>

<p>The Data and AI Architect is responsible for defining and governing the organization's enterprise data architecture while extending it to support Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities. The role ensures that enterprise data assets are trusted, governed, secure, and optimized to enable advanced analytics, scalable AI solutions, and data-driven decision-making across the organization.</p><p><strong>Desired Candidate Profile</strong></p><ul><li><strong>Education</strong> Bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a related field (required). Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related discipline is preferred.</li><li><strong>Experience</strong> Minimum 15+ years of progressive experience in enterprise data architecture, data governance, and information management. Proven experience designing enterprise-scale data platforms and integrating AI and machine learning capabilities into enterprise architectures. Experience establishing enterprise data standards, governance frameworks, and technology roadmaps.</li><li><strong>Required Qualifications</strong> Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field. 15+ years of experience in enterprise data architecture, data governance, and enterprise analytics. Strong experience designing enterprise data platforms, data lakes, data warehouses, and cloud-native data architectures. Hands-on knowledge of AI/ML platforms, MLOps frameworks, and enterprise AI architectures. Experience with enterprise integration technologies, APIs, event-driven architectures, and distributed data platforms. Strong understanding of data governance, metadata management, master data management, and data quality frameworks. Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform. Knowledge of enterprise architecture frameworks such as TOGAF and architecture governance practices. Strong stakeholder management, communication, and leadership skills.</li><li><strong>Preferred Certifications</strong> TOGAF Certification Microsoft Azure Solutions Architect Expert AWS Certified Solutions Architect Professional Google Professional Cloud Architect DAMA Certified Data Management Professional (CDMP) Microsoft Azure AI Engineer Associate AWS Certified Machine Learning Specialty</li><li><strong>Technical Competencies</strong> Enterprise Data Architecture Data Governance &amp; Data Quality Master Data Management (MDM) Metadata Management &amp; Data Catalog Data Warehousing &amp; Data Lakes Lakehouse Architecture AI &amp; Generative AI Architecture Machine Learning &amp; MLOps Enterprise Integration &amp; APIs Security, Privacy &amp; Compliance Analytics &amp; Business Intelligence Architecture Governance DevSecOps &amp; CI/CD for AI</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>The Data and AI Architect is responsible for defining and governing the organization's enterprise data architecture while extending it to support Artificial Intelligence (AI), Machine Learning (ML), and MLOps capabilities.<br> The role ensures that enterprise data assets are trusted, governed, secure, and optimized to enable advanced analytics, scalable AI solutions, and data-driven decision-making across the organization.<br> Education Bachelor's degree in Computer Engineering, Computer Science, Information Technology, Data Science, or a related field (required).<br> Master's degree in Data Science, Artificial Intelligence, Computer Science, or a related discipline is preferred.<br> Experience Minimum 15+ years of progressive experience in enterprise data architecture, data governance, and information management.<br> Proven experience designing enterprise-scale data platforms and integrating AI and machine learning capabilities into enterprise architectures.<br> Experience establishing enterprise data standards, governance frameworks, and technology roadmaps.<br> Required Qualifications Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field.<br> 15+ years of experience in enterprise data architecture, data governance, and enterprise analytics.<br> Strong experience designing enterprise data platforms, data lakes, data warehouses, and cloud-native data architectures.<br> Hands-on knowledge of AI/ML platforms, MLOps frameworks, and enterprise AI architectures.<br> Experience with enterprise integration technologies, APIs, event-driven architectures, and distributed data platforms.<br> Strong understanding of data governance, metadata management, master data management, and data quality frameworks.<br> Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.<br> Knowledge of enterprise architecture frameworks such as TOGAF and architecture governance practices.<br> Strong stakeholder management, communication, and leadership skills.<br> Preferred Certifications TOGAF Certification Microsoft Azure Solutions Architect Expert AWS Certified Solutions Architect – Professional Google Professional Cloud Architect DAMA Certified Data Management Professional (CDMP) Microsoft Azure AI Engineer Associate AWS Certified Machine Learning – Specialty Technical Competencies Enterprise Data Architecture Data Governance &amp; Data Quality Master Data Management (MDM) Metadata Management &amp; Data Catalog Data Warehousing &amp; Data Lakes Lakehouse Architecture AI &amp; Generative AI Architecture Machine Learning &amp; MLOps Enterprise Integration &amp; APIs Security, Privacy &amp; Compliance Analytics &amp; Business Intelligence Architecture Governance DevSecOps &amp; CI/CD for AI</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<h3 >About the Role</h3> <p >stc is seeking a <strong >Data Governance Expert</strong> to support the implementation and enhancement of data governance practices. This full-time role focuses on ensuring alignment with national and internal data management directives, contributing to data quality, privacy, and regulatory compliance. The position is suitable for candidates with 0-1 years of experience.</p> <h3 >Role Purpose</h3> <p >The Data Governance Expert is responsible for supporting the implementation and enhancement of Specialized’s data governance practices. This includes data architecture, data classification, lifecycle management, Identity and Access Management (IAM), and open data activities. The role ensures adherence to NDMO and PDPL requirements, internal governance standards, and stc Group data management directives, while also contributing to continuous improvement in data management.</p> <h3 >Key Responsibilities</h3> <ul > <li >Support the development and maintenance of enterprise data architecture in alignment with business objectives and stc Group data management standards.</li> <li >Monitor and track KPIs related to NDMO and PDPL domain maturity, identifying gaps and supporting required improvement actions.</li> <li >Contribute to the implementation and maintenance of the Identity and Access Management (IAM) framework, policies, and controls.</li> <li >Implement data governance policies, standards, and guidelines in alignment with stc Group directives and applicable regulatory requirements.</li> <li >Maintain data governance policies, procedures, and related documentation within centralized repositories to ensure accuracy and accessibility.</li> <li >Support the implementation of data classification and lifecycle management practices covering data retention, archival, and secure disposal.</li> <li >Execute and coordinate open data management activities, including dataset identification, preparation, publication, and periodic updates.</li> <li >Conduct quality reviews of published open data and associated metadata to ensure accuracy, completeness, and relevance.</li> <li >Monitor open data activities and apply appropriate privacy and data protection controls to ensure alignment with national data classification and privacy requirements.</li> <li >Coordinate with internal stakeholders to support open data publication priorities and ensure alignment with organizational transparency objectives.</li> <li >Support data governance and open data awareness initiatives in coordination with relevant stakeholders and the Data Governance Council.</li> <li >Identify opportunities to enhance data governance practices based on regulatory developments, operational needs, and recognized best practices.</li> </ul> <h3 >Experience and Qualifications</h3> <ul > <li >0-1 years of relevant experience.</li> <li >Understanding of data governance principles, data architecture, data classification, and lifecycle management.</li> <li >Familiarity with Identity and Access Management (IAM) frameworks.</li> <li >Knowledge of NDMO and PDPL requirements is preferred.</li> </ul> <h3 >Work Environment</h3> <p >This is a full-time position within stc, requiring adherence to stipulated business policies and procedures. The role involves coordination with various internal stakeholders and the Data Governance Council.</p> <h3 >Application Process</h3> <p >Candidates interested in this Data Governance Expert role are encouraged to apply.</p>

Job Purpose:Responsible for collecting, analyzing, and interpreting data to support business decisions and improve overall performance. The role will transform data into meaningful insights.<br>Key Responsibilities:Collect, clean, validate, and analyze data from multiple sources. Prepare regular and ad-hoc reports based on business requirements. Develop and maintain dashboards and data visualizations. Identify trends, patterns, and insights within datasets. Ensure data accuracy, consistency, and integrity. Perform data quality checks and resolve data discrepancies. Automate repetitive reports and data processes where possible. Collaborate with different departments to understand data requirements. Present analytical findings and recommendations to stakeholders. Support management with data-driven insights and recommendations.<br>Requirements:Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems, Business Administration, or a related field.2–4 years of experience in Data Analysis or a related role. Strong proficiency in Microsoft Excel. Experience with Power BI or other data visualization tools. Knowledge of SQL is preferred. Strong analytical and problem-solving skills. Good attention to detail. Strong communication and presentation skills. Ability to work with large datasets and multiple data sources.

<p>We are seeking an experienced Enterprise Data Architect to lead enterprise-wide data architecture initiatives, define strategic data frameworks, and establish best practices for data governance, integration, and information management. The ideal candidate will work closely with business and technology stakeholders to design scalable, secure, and future-ready data architecture solutions aligned with organizational objectives.</p><p><b>Key Responsibilities</b></p><ul><li>Design and implement enterprise data architecture strategies and roadmaps.</li><li>Define and maintain enterprise data models, architecture standards, and governance frameworks.</li><li>Collaborate with business and technology teams to align data architecture with business goals.</li><li>Develop data architecture principles, standards, and best practices.</li><li>Ensure consistency, quality, security, and scalability of enterprise data assets.</li><li>Provide architecture guidance for data integration, analytics, and modernization initiatives.</li><li>Present architectural solutions and recommendations to senior leadership and stakeholders.</li><li>Support enterprise data governance and information management programs.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>8 10 years or 12 18 years of experience in Enterprise Data Architecture, Data Management, or related domains.</li><li>TOGAF and/or DAMA Certification (mandatory).</li><li>Strong expertise in enterprise data architecture, data governance, and information management.</li><li>Excellent business communication, stakeholder management, and presentation skills.</li><li>Ability to engage with senior business and technology leadership.</li></ul>

<p>The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.</p><p><b>Key Responsibilities</b></p><ul><li>Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><p><strong>Desired Candidate Profile</strong></p><p>15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation. Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment. Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability. Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems. Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles. Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns. Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</p>