Azure Data Architect

We are a leader in technology services for companies in regulated industries. We have completed hundreds of projects for clients around the world and have over 24 years of experience in the market, with a particular focus on areas such as life sciences, QA, validation, cloud systems, human capital management (HCM), and Salesforce.

• At least 5 years of experience on a similar position.
• Proven hands-on experience combining Azure data architecture, Cosmos DB, Synapse, and production RAG/agentic solutions, clearly reflected in your project history (with dates).
• 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 personally owned the data layer, including chunking, embeddings, and vector search.
• Practical Synapse experience (Pipelines, Spark, Serverless and Dedicated SQL pools), including making architectural decisions yourself.
• Experience with Databricks, SQL Managed Instance / T-SQL, ADLS / Lakehouse architecture, and Azure Functions.

Nice to have:

• Dimensional modeling (star schema).
• Incremental data processing.
• Ability to compare Synapse with Fabric, Databricks, and Azure SQL and recommend the right fit.
• Experience modernizing legacy data platforms.

• Assess the current Azure data platform and prepare a roadmap, separating quick wins from the target architecture.
• Create architecture documentation and diagrams that engineering teams can start implementing within the first weeks of the project.
• Design the data layer for GenAI applications (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 the right tooling (including Databricks, Synapse, and Azure Data Factory) based on the project's actual needs.