Data Architect

Position: Data & AI Architect
Location:KSA (Onsite)
Duration: 1 Year
Preferred

Languages:

English;
Arabic is a plus

• 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.

• 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.

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

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

• 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).

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

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