Azure Data Architect

Quick Facts

• Role: Azure Data Architect

Description

Take over and structure an existing Azure data platform by creating a roadmap and target-state architecture, including support for GenAI-based solutions. You will provide architecture documentation and diagrams that teams can start implementing quickly. A core focus is designing the data layer for GenAI applications such as RAG and agentic solutions using Cosmos DB.

Responsibilities

• Assess the current Azure data platform and produce a roadmap, separating quick wins from target architecture.
• Create architecture documentation and diagrams to enable implementation within the first weeks.
• Design the GenAI data layer (RAG, agentic solutions) covering ingestion, data preparation, storage, and retrieval using Cosmos DB.
• Design flexible, metadata-driven ingestion supporting multiple sources, including documents and unstructured data.
• Recommend appropriate tooling (Databricks, Synapse, Azure Data Factory) based on project needs.

Requirements

• At least 5 years of experience in a similar position.
• Proven hands-on experience combining Azure data architecture, Cosmos DB, Synapse, and production RAG/agentic solutions (with dated project history).
• In-depth Cosmos DB expertise: data modeling, partition key design, RU and cost optimization, scaling, and Change Feed.
• At least one production (not POC) RAG or agentic project where you owned the data layer, including chunking, embeddings, and vector search.
• Practical Synapse experience (Pipelines, Spark, Serverless and Dedicated SQL pools) including making architecture decisions.
• Experience with Databricks, SQL Managed Instance / T-SQL, ADLS / Lakehouse architecture, and Azure Functions.

Benefits

• Benefits package (private health insurance, sports card, group insurance).
• Free English lessons with a dedicated teacher.
• Access to an extensive training library (soft and technical skills).
• Sports activities.
• Team-building events, contests, and challenges.