Enterprise Data Architect

Main Responsibilities

• Develop and maintain the

Enterprise Data Architecture Blueprint

• , covering all data layers (Landing Zone, Raw, Curated, Semantic, Sandbox).
• Define and manage
• enterprise data models
• (conceptual, logical, and physical).
• Design, implement, and expand the
• semantic layer
• to serve as the
• enterprise single source of truth (SSOT)
• .
• Deliver
• governed data marts
• , curated datasets for
• AI/ML pilots
• , and
• advanced data products
• .

Governance & Compliance

• Establish and enforce
• data governance standards
• , including data lineage, metadata, and business glossary frameworks.
• Ensure full compliance with
• Saudi data regulations
• (PDPL, NDMO, SAMA/IA).
• Implement
• role-based access controls
• ,
• PII masking
• , and
• auditable security measures
• .

Performance & Optimization

• Achieve measurable
• BigQuery cost optimization
• (partitioning, clustering, caching, etc.).
• Reduce reporting cycle time and
• improve dashboard accuracy
• .
• Integrate
• unstructured and semi-structured data
• (logs, documents, IoT) into governed data models.

Collaboration & Enablement

• Work closely with

Data Quality

Data Science

• , and
• RPA teams
• to support cross-functional initiatives.
• Conduct
• workshops
• and provide
• best-practice guidance
• to internal teams.
• Mentor and support
• junior data analysts
• to build internal capabilities.
• Drive
• alignment on KPIs and definitions
• across business units for consistent reporting.

Innovation & Value Creation

• Enable
• data monetization
• by preparing reusable curated datasets and APIs.
• Contribute directly to business ROI through cost savings, improved insights, and faster data-driven decision-making.
• Deliver
• clear documentation, blueprints, and governance playbooks
• as part of the engagement.