Enterprise Data Architect

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:
• FSLDM
• FSAS
• Hands-on architectural exposure to:
• Cloudera CDP (HDFS, Spark, Hive, Kafka)
• Teradata Vantage
• Informatica (ETL)- BDM
• Informatica 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 & Qualifications

• 15+ 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..