Senior Data Architect with GenAI / RAG / Agentic AI experience

We’re looking for a Senior Data Architect with strong enterprise Azure Data Architecture experience to work on data platforms supporting GenAI, RAG, and Agentic AI applications.
The role focuses on designing the data architecture behind AI-powered applications — including how enterprise data and knowledge are ingested, prepared, stored, governed, and made available for retrieval and AI consumption.
This is not a hands-on RAG or AI Agent development role. The role focuses on designing the data architecture around applications using RAG and/or Agentic AI patterns.
Your responsibilities
Design data architecture for enterprise solutions supporting GenAI, RAG, and Agentic AI use cases
Define how structured and unstructured data is ingested, processed, stored, governed, and made available for AI consumption
Design and evolve data platforms using Azure services
Work with data modeling, metadata, and data-platform design
Contribute to platform modernization and architectural decisions
Take ownership of architecture and technical solutions
Work with enterprise data and knowledge sources to support retrieval and AI use cases
It’s about you
Strong experience in enterprise Azure Data Architecture
Hands-on or strong architectural experience with Azure Cosmos DB
Proven experience designing data platforms for GenAI / RAG use cases
Experience with AI-ready data architecture
Real project experience where you designed or contributed to the data architecture supporting a RAG, GenAI, or Agentic AI application
Azure Synapse Analytics
Azure Databricks
Azure SQL / SQL Server
Azure Data Lake
Lakehouse architecture
Azure Functions
Strong data modeling skills
Experience with structured and genuinely unstructured data
Experience with metadata and data-platform design
Experience with platform modernization
Strong architecture ownership
What we have for you
Full-time, long-term opportunity — 12+ months
Work on data architecture for modern GenAI, RAG, and Agentic AI use cases
Opportunity to work with enterprise Azure data technologies
Remote work within the agreed geography and CET time zone