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Senior Databricks specialization, Pune metro, and niche migration leadership yields moderate applicant competition.
Deep Databricks, Spark, Delta Lake, and BI-migration expertise makes fit highly industry-specific.
Explicit 8–12 years and mandatory Databricks/Spark skills enforce stringent filters.
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Lead architecture and implementation of enterprise-scale data pipelines on Databricks for a large-scale BI modernization initiative migrating ~20TB SQL Server warehouse to Databricks Lakehouse.
Define and enforce architectural standards, migration frameworks, and Medallion architecture across thousands of legacy assets, optimizing Spark workloads and data governance via Unity Catalog.
Mentor engineers, conduct architectural reviews, establish engineering standards, and collaborate cross-functionally to support BI, analytics, and AI/ML downstream use cases.
8-12 years of data engineering experience with 5+ years hands-on building and operating production workloads on Databricks.
Bachelor’s or master’s degree in computer science, engineering, or related field.
Proven experience in enterprise BI modernization programs replacing SSIS workflows with Spark-based pipelines and redesigning SSAS semantic layers.
Deep expertise in SQL, PySpark, distributed data processing, Delta Lake, Lakehouse and Medallion architectures, CI/CD, and operational reliability.
Experienced technical leader in enterprise-scale, complex BI modernization programs involving large data migration and platform transformation.
Strong architectural thinker with hands-on expertise in Databricks Lakehouse, Spark optimization, and governance best practices.
Comfortable operating in global/multi-team environments with high stakeholder engagement and cross-functional collaboration.