Data Engineering ManagerAbout the Role
We are seeking a Data Engineering Manager to help design, build, and optimise our next-generation data platform on Databricks. This is a hands-on engineering role for someone who can work across modern data architecture, scalable data pipelines, platform engineering, and data governance.
You will play a key role in migrating from legacy data platforms to Databricks, working closely with architecture, product, technology, and business teams to turn complex requirements into robust, secure, and scalable data solutions.
The successful candidate will bring deep technical experience in data engineering, strong Databricks capability, and the ability to influence engineering standards and delivery quality across a modern data platform environment.
What the Job Involves
Working as part of the Data Transformation Team, you will be responsible for:
Designing, developing, and optimising scalable data pipelines using Databricks, Apache Spark, Delta Lake, Python, and SQL.
Building reliable ETL and ELT processes that support analytics, reporting,
benchmarking, and data product use cases.
Contributing to the design and implementation of the Databricks Lakehouse architecture, including data modelling, data quality, performance, and scalability.
Supporting the migration of data workloads from legacy platforms to Databricks, working with architects and engineering teams to recommend practical technical solutions.
Implementing data governance and security controls using Databricks Unity Catalog, including access control, lineage, and setting-level governance.
Improving the performance and cost efficiency of Databricks clusters, SQL warehouses, workloads, and serverless compute.
Applying DevOps and DataOps practices, including CI/CD, automated deployment, version control, testing, and infrastructure as code.
Working with tools such as Terraform, GitHub Actions, Azure DevOps, or equivalent engineering toolchains.
Collaborating with Data Transfo
📌 Data Engineering Manager (Mumbai)
🏢 Crisil
📍 Mumbai