Azure Architect - Data Engineering

We are looking for experienced Data Architects / Senior Data Architects to join our teams in Chennai, Bangalore, or Hyderabad. In this role, you will lead the architecture, design, and delivery of modern data platforms-including Data Lakes, Lakehouses, and Data Mesh-using Azure and Databricks. This is a hybrid role involving hands-on development, customer engagement, and technical leadership, where you will collaborate across teams to drive scalable and innovative data solutions end-to-end.

. Architect and implement data solutions leveraging Azure and the Databricks ecosystem.

. Own the complete lifecycle of data platform implementations-from requirements gathering and platform

. selection to architecture design and deployment.

Work closely with data scientists, application developers, and business stakeholders to deliver enterprise-grade data solutions.

. Continuously explore emerging technologies to solve business problems creatively.

. Mentor and guide a team of data engineers, promoting best practices and innovation. Contribute to broader organizational initiatives including capability building, solution development, talent acquisition and industry events.

. 8+ years of overall technical experience with at least 4 years working hands-on with Microsoft Azure and Databricks.

. Experience of leading at least 2 end to end Data Lakehouse project on Azure Databricks involving Medallion Architecture.

Deep expertise in the Databricks ecosystem, including: PySpark, Notebooks, Unity Catalog, Delta Live Tables, Workflows, SQL Warehouse, Mosaic AI, AI/BI Genie.

.

. Hands-on experience building modern data platforms on Azure using tools and services such as: Azure

Databricks, Azure Data Factory, ADLS Gen2, SQL Database, Microsoft Fabric, Event Hub, Stream Analytics, Cosmos DB,

Azure Purview, Log Analytics, and Azure Explorer.

. Experience of designing and developing metadata-driven frameworks (relevant for Data Engineering processes).

. Strong programming, debugging, and performance tuning skills in Python and SQL.

. Good Experience of Data modeling (both Dimensional and 3-NF)

. Good Exposure to developing LLM/GenAI-powered applications.

. Sound understanding of CI/CD processes using Git and Jenkins or Azure DevOps.

. Familiarity with big data platforms such as Cloudera (CDH) or Hortonworks (HDP) is a plus.

. Exposure to technologies like Neo4j, Elasticsearch, and vector databases is desirable.

. Bonus: Experience with Azure infrastructure provisioning, networking, security, and governance.

Educational Background:

Bachelors degree (B.E/B.Tech) in Computer Science, Information Technology, or a related field from a reputed institute (preferred).