Enterprise Data Architect

Robusta Studio

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.