Senior Data Platform Engineer

About this role

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Skills you'll use

What you'll do

• 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.

Who can apply

• Strong relational database engineering and advanced SQL skills, including complex queries, analytical functions, execution plan analysis, indexing, data modeling, stored procedures, and performance tuning; strong PL/SQL knowledge is highly desirable.
• Hands-on Java expertise, including modern Java, object-oriented and functional design, collections, concurrency, JVM internals, memory and performance tuning, exception handling, dependency management, and production debugging.
• Good practical Python coding knowledge for data processing, automation, validation, orchestration, utilities, and integration, with the ability to review Python design and code quality even though Java is the primary engineering skill.
• Strong experience building enterprise platforms, REST APIs, microservices, batch processing, event-driven integration, persistence frameworks, security controls, and automated testing.
• Proven ability to lead complex technical designs and influence experienced engineers through clear architecture reasoning, code-level credibility, constructive challenge, and practical implementation guidance.
• Strong data-platform engineering experience across both on-premise and cloud environments, including ingestion, transformation, data quality, reconciliation, metadata, lineage, effective-dated data, and governed publication of trusted datasets.
• Hands-on GCP data-platform experience with BigQuery, Cloud Storage, Cloud Composer/Airflow, Dataflow, Pub/Sub, Cloud Run and/or GKE, together with sound judgment on when each service is appropriate.
• Experience re-architecting or modernizing a legacy, business-critical application through phased decomposition, coexistence, migration, dual run, reconciliation, and controlled cutover rather than a single high-risk rewrite.
• Strong API-first and metadata-driven design capability, including service contracts, versioning, idempotency, schema evolution, backward compatibility, error models, and secure system integration.
• Strong knowledge of data modeling for identity, configuration, historical and relationship data, including normalization, dimensional or analytical models where appropriate, provenance, effective dating, and source-of-truth rules.

Perks & benefits

About Deutsche Bank

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