Data Architect

Datamatics Technologies; Riyadh Region; On-site; SAR 300,000 - 520,000; Full time

Job summary

Datamatics Technologies seeks a Data & AI Architect to design enterprise data architectures and AI/ML systems for government and smart city initiatives in Saudi Arabia. This onsite, 1-year role emphasizes cloud data platforms, governance, and scalable data stacks.

You will translate business needs into technical architecture, govern data projects, and collaborate with engineering and executive stakeholders to deliver end-to-end solutions. English is preferred; Arabic is a plus.

Qualifications

• 8+ years in data architecture with 2-3+ years AI/ML in production.
• Hands-on with cloud data platforms and modern data stack.
• Experience building enterprise data architectures and governance.

Responsibilities

• Design enterprise data architectures including data modeling and data warehousing.
• Design AI/ML systems in production environments.
• Develop and manage cloud data platforms and ETL/ELT pipelines.
• Oversee AI/ML lifecycle: model selection, MLOps, deployment, monitoring.
• Architect LLM/GenAI solutions including RAG pipelines and vector databases.
• Translate business requirements into technical architecture.
• Communicate with engineering teams and executives.
• Design APIs and system integrations.
• Ensure alignment with data governance and compliance.

Skills

SQL

Python

Cloud platforms

Tools

Azure

AWS

GCP

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.

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.