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Tier-1 bank and Pune location increase applicant pool, but senior Databricks/Spark specialization limits competition.
High because role demands banking domain expertise and familiarity with client financials, GSIB, and tax calculations.
High due to 10+ years requirement and mandatory Databricks, Spark, AWS, and finance domain expertise.
Define and execute strategic technology architecture roadmap for Client Financials portfolio with focus on scalable, robust solutions.
Lead cloud-native data services design and migration to Databricks and Spark on AWS, optimizing for high-throughput financial data applications.
Own solution delivery lifecycle and lead a high-performing engineering team using agile methodologies for complex financial analytics platforms.
10+ years proven experience in software engineering and application development for complex business functions.
Deep expertise with AWS cloud-native architecture, Databricks, Apache Spark, PySpark, and Hadoop ecosystem.
Experience with enterprise database systems (SQL Server, Oracle) and building high-performance calculation engines.
Bachelor's degree required; Master's degree preferred. Work Experience Required: 10+ years.
Experienced in leading large-scale cloud transformation and enterprise data service optimization projects in financial domain.
Capable of influencing technology strategy and communicating complex financial technology architectures to senior stakeholders.
Skilled in managing end-to-end delivery of technical platforms aligned with business goals in agile, multi-disciplinary team environments.