Data Architect

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 SkillsExperience

• 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 SkillsDomain & 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