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Strong employer brand and Bangalore location raise competition despite senior Databricks specialization.
Requires deep Databricks, Lakehouse and data engineering expertise, reducing cross-industry portability.
Explicit 12+ years and mandatory Databricks, Spark, Python, and leadership experience create strict shortlisting filters.
Own and lead delivery of Databricks-based data engineering projects, including designing and managing data pipelines using medallion architecture and Lakehouse concepts.
Manage and oversee large volume data processing, applying expertise in data modeling, warehousing, and Slowly Changing Dimensions (SCD) approaches.
Lead client engagements, estimate project work, and manage teams or pods to ensure successful project execution.
Minimum 12 years of professional experience in data engineering with a strong focus on Databricks technologies.
Proficient in Python, SQL, and Spark programming.
Experience working with capital markets or investment management clients.
Candidate must reside within daily commuting distance of Bangalore and be willing to work full time from office (SODC requirement).
Experienced in leading complex client projects and managing multiple teams or pods in a data engineering environment.
Strong domain knowledge in capital markets or investment management, with hands-on experience in Databricks and related data processing frameworks.
Demonstrates ability to estimate workload accurately and communicate effectively with clients and team members.