Enterprise Data Architect - Remote - Octopus - Immediate hire - Hybrid - Riyadh

robusta; Saudi Arabia; Remote; SAR 337,000 - 450,000; Full time

Job summary

A leading tech agency in Saudi Arabia is seeking an experienced Enterprise Data Architect. This role involves developing a robust data architecture and ensuring compliance with local regulations. The ideal candidate should have extensive experience in data modeling, cloud platforms, and mentoring teams. This position offers competitive compensation on a 1-year contract with exciting projects and opportunities for innovation.

Qualifications

• 8+ years of experience in Enterprise Data Architecture and data modeling.
• Proven record of delivering data marts and semantic layers at scale.
• Previous exposure to Saudi data compliance projects.

Responsibilities

• Develop and maintain the Enterprise Data Architecture blueprint.
• Define and manage enterprise data models.
• Establish and enforce data governance standards.

Skills

Data classification

Data security controls

Stakeholder engagement

Cross-functional leadership

Documentation skills

Problem-solving skills

Education

Bachelor’s degree in Computer Science or related field

Master’s degree in Data Architecture or Business Analytics

Tools

Google BigQuery

Metadata/catalog tools

Data lineage tracking tools

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.

Role Overview

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.

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) and 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

• 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).
• 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.