Lead Engineer, Data Ingestion, VP
Deutsche Bank (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 30–48 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Provide hands-on technical leadership for designing, developing, and evolving scalable, secure data-ingestion platforms using Java, Spring Boot, Apache Spark, Kubernetes, OpenShift, and Google Cloud Platform services.
- Define technical direction aligned with business priorities, own production readiness, observability, capacity, resilience, incident resolution, and embed information security and regulatory controls throughout engineering lifecycle.
- Mentor and coach engineers, influence architecture and engineering decisions across teams, and develop reusable frameworks and engineering patterns for batch, API, event-driven, and distributed data processing.
Minimum Requirements
- Significant software or data engineering experience including technical leadership of complex platforms or products in a large organization.
- Strong hands-on development skills in Java, Spring Boot, Apache Spark (Java and/or PySpark), Kubernetes, OpenShift, and Google Cloud Platform services (Cloud Run, Dataproc, GKE, BigQuery).
- Experience with CI/CD, automated testing, Git workflows, secure engineering, and production support for business-critical services.
- Experience working in regulated environments such as banking, financial services, risk, finance, treasury, or regulatory reporting. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in defining technical direction and influencing architecture and engineering decisions across organizational boundaries in large regulated environments.
- Strong delivery focus including production support, performance engineering, and embedding security, risk, audit and regulatory controls.
- Skilled mentor and coach with ability to enhance team technical capabilities and delivery discipline through hands-on involvement and team collaboration.