Manager | Databricks + Pyspark | Mumbai | Engineering | Data Modernization & Migration
Deloitte (company site, opens in a new tab)7–10 yrsMumbaiOn-siteDirect career pageEst. 30–45 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead the design and delivery of scalable, enterprise-grade Databricks data platforms on Azure.
- Own FinOps for Databricks including optimizing DBU consumption and cluster policies.
- Manage technical project delivery and enforce standards around data modeling, Spark optimization, and architecture integration with Azure Synapse, Power BI, and ML workflows.
Minimum Requirements
- 7-10 years of experience in data engineering with significant hands-on architecture experience on Azure Databricks.
- Expertise in end-to-end Data Lakehouse architecture design and Databricks FinOps management.
- Experience managing technical teams and project lifecycles.
- Bachelor’s or Master’s degree in Computer Science or related field.
- Location requirement: Mumbai (Hybrid).
Ideal Candidate Profile
- Experienced technical leader comfortable translating business needs into data platform roadmaps and managing stakeholder expectations.
- Deep domain expertise in Azure Databricks ecosystem including integration with Synapse, Power BI, and ML pipelines.
- Demonstrated ability to drive cost efficiency (FinOps) and governance in large-scale data environments.