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Enterprise Data Architect - Remote - Octopus - Immediate hire
Enterprise Data Architect - Remote - Octopus - Immediate hirerobusta • EG
Enterprise Data Architect - Remote - Octopus - Immediate hire

Enterprise Data Architect - Remote - Octopus - Immediate hire

robusta • EG
1 day ago
Job type
  • Quick Apply
Job description

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of  Robusta Technology Group , dedicated to connecting exceptional tech talent with top-tier organizations across the  MENA, GCC, Europe, the US, and Canada . We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to  empower growth, innovation, and excellence  by matching the right talent with the right opportunities.

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.
  • Requirements

    Main Requirements

    Education

  • 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).
  • Experience

  • 8+ 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
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