Enterprise / Data Architect
Location: Jeddah, Saudi
Experience : 10+ Years
Key Responsibilities Architecture Ownership Own and govern the end-to-end Data Lakehouse architecture, ensuring consistency across data ingestion, storage, processing, consumption, and governance layers. Define and validate the target state Medallion Architecture (Bronze, Silver, Gold) in alignment with enterprise architecture principles. Ensure robust architectural patterns for batch, near real-time, and historical data processing. Platform & Technology Alignment Ensure architectural consistency and seamless integration across:Cloudera Data Platform Teradata Enterprise Data Warehouse Informatica (ETL, Data Quality, Metadata) Denodo (Data Virtualization & Consumption) Review and approve low-level designs, data flows, and integration patterns across platforms. Phase 1 Remediation Governance Perform architectural assessment and validation of Phase 1 deliverables, including:Data pipelines Logical and physical data models Gold layer aggregations (Teradata) Identify architectural gaps, anti-patterns, and misalignments. Define remediation and rebuild strategies aligned with target architecture. Enterprise Data Modeling & Standards Govern the implementation of logical and physical data models aligned to:FSLDM (Financial Services Logical Data Model) FSAS aggregation standards Ensure correctness, consistency, and reusability of enterprise and subject-area models. Validate aggregation logic, hierarchies, and reporting readiness. Governance, Compliance & Security Ensure alignment with:NDMO (National Data Management Office) NDI (National Data Index)data classification, privacy, and security standards Oversee metadata, lineage, data quality, and auditability design. Ensure architecture supports regulatory reporting, traceability, and reconciliation requirements. Performance, Scalability & Resilience Define architecture patterns for:High availability (≥99.9% uptime) Horizontal scalability Disaster recovery and point-in-time restore Review and guide performance tuning strategies for ingestion, transformation, and reporting workloads. Stakeholder & Governance Engagement Act as the primary architectural interface with IT, Data Governance, Security, and Business teams. Participate in architecture review boards, design walkthroughs, and governance forums. Clearly articulate architectural decisions, trade-offs, and impacts to senior stakeholders. Required Skills & Experience Technical Expertise Strong experience in Enterprise Data Architecture, including:EDW modernisation Data Lake / Lakehouse architectures Medallion architecture patterns Deep understanding of BFSI data domains and enterprise reference models:FSLDMFSASHands-on architectural exposure to:Cloudera CDP (HDFS, Spark, Hive, Kafka) Teradata Vantage Informatica (ETL)- BDMInformatica Power Exchange (CDC) Kafka Denodo Governance & Compliance Proven experience designing governance-driven architecture:Metadata and lineage Data quality frameworks Security, masking, and encryption Strong understanding of regulatory and compliance-driven data platforms. Non-Functional Design Expertise in:Performance and workload optimization Scalability and capacity planning Resilience, backup, and recovery design Soft Skills Strong communication and stakeholder management skills. Ability to lead cross-vendor and cross-functional technical discussions. Governance mindset with pragmatic delivery orientation. Experience & Qualifications15+ years of experience in data architecture roles, preferably in large BFSI organizations. Proven track record of large-scale data platform transformation programs. Experience working in hybrid delivery models with onsite and offshore teams. Architecture certification(s) or advanced data engineering background preferred..