Azure Data Architect (Cosmos DB / GenAI / RAG)

We are looking for an experienced Azure Data Architect to design enterprise data architectures that power GenAI, RAG, and Agentic AI applications.

The primary focus of this role is to build a scalable, reliable, and production-ready data platform that enables the ingestion, processing, storage, and delivery of enterprise data to AI-powered applications.

Responsibilities

• Design enterprise data architectures based on Microsoft Azure.

• Architect production-grade data solutions for GenAI, RAG, and/or Agentic AI applications.

• Design data models, storage solutions, and integration processes for structured and unstructured data.

• Define data ingestion architectures and prepare enterprise data for AI-powered search and retrieval.

• Design Azure Cosmos DB solutions with a focus on scalability, performance, reliability, and availability.

• Architect data platforms using Azure Synapse Analytics, Azure Data Lake, and other Azure services.

• Design scalable, metadata-driven and configuration-based data ingestion frameworks.

• Develop architecture documentation, data models, and technical specifications.

• Contribute to the modernization of existing data platforms and make key architectural decisions.

• Collaborate closely with Development, Data Engineering, and AI Engineering teams.

Requirements

• Proven experience as a Data Architect, Solution Architect, or Cloud Data Architect.

• Deep expertise in Azure Cosmos DB.

• Hands-on experience designing enterprise data platforms on Microsoft Azure.

• Proven production experience architecting data solutions for RAG, GenAI, and/or Agentic AI applications.

• Experience designing AI-ready data platforms.

• Strong understanding of structured and unstructured data architectures.

• Knowledge of data modeling, ingestion pipelines, and data integration patterns.

• Ability to independently design architectures and make key technical decisions.

• Understanding of security, scalability, reliability, and performance…