Lead Data Platform Architect (Databricks & Azure)
? Location: Bangalore, India (White Field, 5 days working from office)
? Experience: 8+ Years

About the Role
We are seeking an experienced Lead Data Platform Architect to lead the organization's Data Hub strategy, architecture, and delivery. This role will be responsible for driving regional and global data initiatives, partnering with business stakeholders to deliver scalable data solutions, and ensuring data accuracy, governance, security, and operational excellence across the enterprise data landscape.
The ideal candidate will possess strong expertise in Databricks, Azure, Data Engineering, and Modern Lakehouse Architectures, combined with proven leadership experience in managing teams and delivering enterprise-scale data transformation programs.

Key Responsibilities
Lead and mentor a team of developers, providing technical guidance, task prioritization, and support for successful project delivery.
Collaborate with global business stakeholders to understand data requirements and recommend best-in-class data solutions.




Own the end-to-end delivery of Data Hub initiatives, ensuring quality, scalability, and timely execution.
Manage project backlogs, create development tickets, prioritize work items, and track delivery progress.
Design and implement up-to-date Lakehouse architectures and enterprise data platforms using Databricks and Azure.
Drive data governance, data quality, security, compliance, and metadata management across the Data Hub ecosystem.
Establish and promote DataOps, CI/CD, automation, and engineering best practices.
Enable Business Intelligence, Advanced Analytics, Machine Learning, and Generative AI use cases through scalable and governed data products.

Mandatory Skills
Databricks (Delta Lake, Unity Catalog, Databricks Workflows)
Apache Spark, PySpark & SQL
Azure Data Platform & Cloud Architecture
Data Engineering (ETL/ELT, Data Modeling)
Lakehouse Architecture & Enterprise Data Pipelines
Data Governa

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