Position : Azure Architect (Data & AI)

Overall/Total Experience : 10 - 12 years

Location : Gurugram

Working Days : 5 Days from Office

Notice Period Requirement : 30 Days (Maximum)

Client's Company Size : Startup / Small Enterprise

Roles & Responsibilities :

- Design end-to-end data architecture on Azure covering ingestion, storage, transformation, governance, and consumption layers.

- Define reference architectures using Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, and Azure SQL/Cosmos DB.

- Architect AI/ML and Generative AI solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, and Cognitive Services.

- Design data governance, security, and compliance frameworks using Microsoft Purview, Unity Catalog, and Azure security best practices.

- Create solution blueprints, high-level and low-level design documents, and target-state architecture diagrams.

- Lead technical solutioning for RFPs/RFIs, prepare architecture proposals and delivery roadmaps.

- Deliver architecture presentations, PoCs, and demos to technical and business stakeholders.

- Provide hands-on architectural oversight during implementation, ensuring adherence to design and Azure best practices.

Candidate Requirements :

- 10+ years overall, with 8+ years in Azure Data/AI architecture, and proven experience architecting and delivering large-scale data platforms on Microsoft Azure.

- Pre-sales experience : customer discovery, technical solutioning for RFPs/RFIs, architecture proposals, effort/cost estimation, delivery roadmaps, and architecture presentations/PoCs/demos.

- Prior experience in a Microsoft Partner organization, with direct involvement in achieving/maintaining the Data & AI (Azure) Solutions Partner designation, and hands-on contribution to passing the Microsoft Data & AI specialization audit.

- Strong expertise in Azure Data Lake Storage, Azure Synapse Analytics, Microsoft Fabric, and/or Azure Databricks.

- Experience with Azure Machine Learning, Azure OpenAI Service, and building AI/ML or GenAI-powered solutions (Azure AI Foundry, Cognitive Services).

- Solid understanding of ETL/ELT pipelines, data modeling (dimensional / data vault), and orchestration tools.

- Familiarity with Microsoft Purview (or equivalent) for data governance, cataloging, and lineage, plus working knowledge of Azure security, networking, and identity (Entra ID, Private Link, Key Vault, RBAC).

- Hands-on scripting/programming in Python, SQL, and/or Spark, and IaC experience.