Azure Data Architect

We are looking for an experienced Azure Data Architect to join a long-term European project. The role focuses on designing and evolving enterprise data architecture in Azure, including the data layer supporting GenAI, RAG, and Agentic AI applications.

• Design and evolve scalable enterprise data architecture on Microsoft Azure.
• Own architectural decisions related to data modeling, ingestion, storage, integration, and modernization.
• Design data platforms and data layers supporting GenAI, RAG, and Agentic AI applications.
• Define approaches for preparing, storing, governing, and exposing enterprise data and knowledge for AI consumption and retrieval.
• Design solutions for both structured and unstructured data.
• Develop scalable metadata- and configuration-driven data ingestion approaches.
• Design and optimize Data Lake and Lakehouse architectures.
• Define architectural patterns and integrations across Azure data services.
• Ensure scalability, maintainability, security, and reliability of data-platform solutions.
• Collaborate with engineering and other technical teams on architecture implementation.

• Strong experience in enterprise Azure Data Architecture.
• Proven experience designing production data architecture supporting GenAI, RAG, or Agentic AI applications.
• Hands-on project experience designing or owning the data layer behind a production RAG/Agentic AI solution.
• Strong knowledge of Azure Cosmos DB — essential.
• Strong experience with Azure Synapse Analytics and Azure Databricks.
• Experience with Azure SQL Managed Instance, SQL Server, and T-SQL.
• Strong knowledge of Azure Data Lake and Lakehouse architecture.
• Experience with Azure Functions.
• Strong knowledge of data modeling, data ingestion, and data-platform modernization.
• Experience working with both structured and unstructured data.
• Experience designing metadata/configuration-driven ingestion and scalable data platforms.
• Understanding of data patterns used in GenAI/RAG solutions, such as document processing, metadata, chunking, embeddings, vector search, and retrieval.
• Experience taking ownership of architectural decisions in complex enterprise environments.
• Spoken English — B2 or higher.

• Work schedule is flexible — fixed amount of hours that you need to work per month
• 20+ personal days for rest per year (10 days allocated every 6 months; unused days do not expire)
• Up to 12 official public holidays per year (each employee can decide how many to use)
• Birthday day off
• Reimbursement of 5 sick days per year
• Partial compensation for external courses/conferences (after the completion of the Adaptation Period)
• Partial compensation for external professional certifications
• Reimbursement for sports or massage
• Large library with a scheduled purchase of new books every half a year
• Yearly Individual Development Plan (after the completion of the Adaptation Period)