GenAI Data Architect for Enterprise Cloud Platforms

Datamatics Technologies LLC; Saudi Arabia; On-site; SAR 320,000 - 460,000; Full time

Job summary

Datamatics Technologies LLC is seeking a Data & AI Architect to design and govern enterprise data architectures, including data modeling, warehousing, and MDM, with production AI/ML systems experience. The role focuses on cloud platforms (Azure/AWS/GCP) and modern data stack, data governance, and cross-functional collaboration.

The candidate will translate business needs into technical solutions, lead MLOps and deployment, and contribute to government and enterprise platform initiatives on

Qualifications

• 8+ years in data architecture with 2–3+ years in production AI/ML.
• Hands-on experience with cloud data platforms and modern data stack.
• Experience designing enterprise data architectures (data modeling, warehousing, MDM).

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.

Skills

Data engineering

Data architectures

AI engineering

SQL

Python

Tools

Azure

AWS

GCP

Job description

Datamatics Technologies LLC is seeking a Data & AI Architect to design and govern enterprise data architectures, including data modeling, warehousing, and MDM, with production AI/ML systems experience. The role focuses on cloud platforms (Azure/AWS/GCP) and modern data stack, data governance, and cross-functional collaboration.

The candidate will translate business needs into technical solutions, lead MLOps and deployment, and contribute to government and enterprise platform initiatives on