Senior Data Platform Engineer

Job Title: Senior Data Platform Engineer Corporate Title: Assistant Vice President Location: Pune, India Role Description This position sits within Deutsche Bank's eDiscovery and Archiving Technology group and will play a leading engineering role in the modernization of a critical enterprise data platform. The platform provides identification, data-source intelligence, and configuration-control capabilities supporting defensible eDiscovery decisions across Legal, Compliance, HR, Audit, and Investigations. The successful candidate will strengthen and evolve the existing on-premise data platform while leading the technical design and hands-on development of a new generation GCP-based data platform. This is a deeply hands-on engineering role, not a pure architecture, coordination, or people-management position. It requires expert-level Java engineering, strong data-platform design capability, practical Python coding knowledge, and the ability to convert complex legacy business logic into modular, testable, observable, and auditable services and data products. The role will set engineering direction, lead designs, influence technical team members through code-level credibility, and remain directly accountable for coding, code reviews, debugging, troubleshooting, and production delivery. What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Operate as a deeply hands-on lead engineer: personally design, code, unit test, review, profile, debug, deploy, and support production-grade Oracle PL/SQL packages, Java services, APIs, batch components, data-processing modules, and integration frameworks. Produce reference implementations for complex or high-risk capabilities. Own key design decisions for modular decomposition of legacy data-platform capabilities, including custodian identity, employment history and aliases, application and data-source coverage, archive configurations, retention context, refinement rules, and identification outputs. Extract and rationalize business logic embedded in legacy code, database routines, manual backend processes, and operational knowledge; distinguish essential control logic from accidental complexity and prevent a like-for-like migration of legacy constraints. Design, develop & maintain the on-premise data platform through substantial hands-on Java coding, supported by relational data models, advanced SQL and PL/SQL, controlled interfaces, automated ingestion, reconciliation, and operational tooling. Improve maintainability, test coverage, documentation, release quality, and production supportability through direct implementation. Design for coexistence and transition between on-premise and GCP components, including secure connectivity, data synchronization, reconciliation, dual-run controls, cutover, rollback, and progressive retirement of legacy components without disrupting eDiscovery obligations. Develop scalable ingestion and onboarding patterns for HR, application, archive, account, migration, retention, and other source data; support bulk loads, schema validation, data-quality controls, source traceability, and controlled schema evolution. Establish a trusted data model and source-of-truth hierarchy for custodian identity and source coverage, with explicit provenance, effective dating, confidence, exception handling, and full traceability of why an identification or downstream task was produced. Design services and configuration capabilities that reduce hard-coded change, enable controlled