[Hiring] Enterprise Data Architect @robusta

Role Description

Currently, we are hiring an Enterprise Data Architect for one of our partner organizations in KSA on a 1-year contract, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Main Responsibilities

• Enterprise Data Architecture & Design
  • 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.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (required).
• Master’s degree in Data Architecture, Data Science, or Business Analytics (preferred).

Requirements

• 4+ years of experience in Enterprise Data Architecture and data modeling.
• Proven record of delivering data marts and semantic layers at scale.
• Strong expertise with cloud-native data platforms (preferably Google BigQuery).
• Experience with metadata/catalog tools, data lineage tracking, and governance frameworks.
• Previous exposure to Saudi data compliance projects (PDPL, NDMO, SAMA/IA).
• Familiarity with AI/ML platforms (Vertex AI, SageMaker, etc.).
• Experience with data monetization strategies and API marketplaces (preferred).
• Insurance or financial services domain experience (preferred).

Skills & Knowledge

• Strong understanding of data classification, data security controls, and personal data protection.
• Excellent stakeholder engagement and cross-functional leadership abilities.
• Effective mentoring and knowledge-transfer capabilities.
• Strong documentation, communication, and problem-solving skills.

Certifications (Preferred)

• Google Cloud Professional Data Engineer
• DAMA CDMP
• TOGAF