GenAI & Data Architecture Lead — Cloud & MLOps

Datamatics Technologies; Palestine (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Datamatics Technologies is seeking a Data & AI Architect to design enterprise data architectures, deploy ML systems in production, and build cloud data platforms across Azure, AWS, and GCP. You will translate business needs into scalable architectures, drive governance, and collaborate with engineering and leadership on APIs, integrations, and governance.

This onsite role emphasizes modern data stacks, lakehouse pipelines, and GenAI/RAG solutions to support enterprise initiatives and smart-city

Qualifications

• 8+ years in data architecture with 2–3 years designing AI/ML systems in production.
• 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.

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.
• Architect LLM/GenAI solutions including RAG pipelines, vector databases, and model orchestration.
• Translate business requirements into technical architecture and communicate with engineering teams and executives.

Skills

Data architecture

AI/ML in production

Cloud platforms

Data governance

API design

SQL

Python

Tools

Azure

AWS

GCP

ETL/ELT pipelines

RAG pipelines

Job description

Datamatics Technologies is seeking a Data & AI Architect to design enterprise data architectures, deploy ML systems in production, and build cloud data platforms across Azure, AWS, and GCP. You will translate business needs into scalable architectures, drive governance, and collaborate with engineering and leadership on APIs, integrations, and governance.

This onsite role emphasizes modern data stacks, lakehouse pipelines, and GenAI/RAG solutions to support enterprise initiatives and smart-city