Data Architect📣 Job Ad

About the Role

Datamatics Technologies is seeking a Data & AI Architect for a full-time, one-year onsite position in KSA. This role involves designing and overseeing enterprise data architectures and AI/ML systems, translating business requirements into technical solutions, and ensuring alignment with data governance frameworks.

Key Responsibilities

• Design enterprise data architectures, including data modeling, data warehousing, and master data management.
• Develop and manage cloud data platforms (Azure/AWS/GCP) and modern data stack architectures, including data lakes, lakehouse, and ETL/ELT pipelines.
• Design AI/ML systems for production environments and oversee AI/ML lifecycle activities such as 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 and 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.

Qualifications and Experience

• A minimum of 10 years of experience in data architecture, with 2-3+ years specifically designing AI/ML systems in production.
• Strong hands-on experience with cloud data platforms (Azure/AWS/GCP) and modern data stack components (data lakes, lakehouse, ETL/ELT pipelines).
• Proven experience designing enterprise data architectures, including data modeling, data warehousing, and master data management.
• Solid understanding of the AI/ML lifecycle: model selection, MLOps, deployment, and monitoring.
• Experience with LLM/GenAI architecture, including RAG pipelines, vector databases, prompt engineering, and 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 proficiency.
• AI Engineering: Basic to Intermediate proficiency.
• Strong SQL skills.
• Proficiency in at least one programming language, with Python being most common.

Preferred Qualifications

• Domain & Compliance: Direct experience with PDPL, NCA ECC, NDMO frameworks, or similar; GDPR/HIPAA experience.
• Architecture & Technologies: Experience with AI Advanced Architectures, real-time/streaming data architectures (Kafka, event-driven systems), IoT data ingestion (parking sensors, city infrastructure, etc.), and 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).