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Data Architect

Datamatics Technologies · Riyadh

Riyadh · On-siteFull-TimePosted Sep 7, 2026

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Job description

Position: Data & AI Architect

Location:  KSA (Onsite)

Duration: 1 Year

Preferred Languages: English; Arabic is a plus

Responsibilities

  • Design enterprise data architectures including data modeling, data warehousing, and master data management
  • Design AI/ML systems in production environments
  • Develop and manage cloud data platforms (Azure/AWS/GCP) and modern data stack architectures including data lakes, lakehouse, ETL/ELT pipelines
  • Design and oversee AI/ML lifecycle activities including model selection, MLOps, deployment, and monitoring
  • Architect LLM/GenAI solutions including RAG pipelines, vector databases, prompt engineering, and model orchestration
  • Translate business requirements into technical architecture
  • Communicate effectively with engineering teams and executive stakeholders
  • Design APIs and system integrations for interconnected platforms and systems
  • Ensure alignment with data governance and compliance frameworks
  • Support smart-city, government, and enterprise platform initiatives involving multiple stakeholders and integrated systems

Must Have Skills Experience

  • 8+ years in data architecture, with 2–3+ years designing AI/ML systems in production
  • Strong hands-on experience with cloud data platforms (Azure/AWS/GCP) and modern data stack (data lakes, lakehouse, ETL/ELT pipelines)
  • Proven experience designing enterprise data architectures (data modeling, data warehousing, master data management)
  • Solid understanding of AI/ML lifecycle: model selection, MLOps, deployment, monitoring
  • Experience with LLM/GenAI architecture (RAG pipelines, vector databases, prompt engineering, model orchestration)
  • Experience with data governance and compliance frameworks
  • Ability to translate business requirements into technical architecture and communicate with both engineering teams and executive stakeholders
  • Experience with API design and system integration

Technical Skills

  • Data Engineering and Data Architectures – Moderate to Advanced
  • AI Engineering – Basic to Intermediate
  • Strong SQL
  • At least one programming language (Python most common)

Good to Have Skills Domain & Compliance

  • Direct experience with PDPL, NCA ECC, or NDMO frameworks, or similar
  • GDPR/HIPAA experience

Architecture & Technologies

  • AI Advanced Architectures
  • Familiarity with real-time/streaming data architectures (Kafka, event-driven systems)
  • Experience with IoT data ingestion (parking sensors, city infrastructure, etc.)
  • Enterprise architecture certifications (TOGAF, cloud architect certifications)

Industry Experience

  • Experience in government, smart city, or public-sector platforms
  • Vendor/multi-stakeholder environment experience (JV, consortium, or large enterprise with multiple business units)

Language Skills

  • English (Preferred)
  • Arabic language skills are a plus

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