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Tier‑1 bank, Bangalore location, and broad data engineering requirements increase candidate competition.
Core data engineering skills transfer, but regulated banking and enterprise scale increase domain specificity.
Explicit 7+ years, 3+ leadership and specific regulated data platform requirements impose strict filters.
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Lead and manage engineering teams building Corporate Accounting Data applications, ensuring high-quality, secure, scalable software aligned with banking platform architecture and non-functional requirements.
Drive cross-team collaboration, influence architects and product managers, and act as escalation point for technology roadblocks and delivery risks.
Build engineering capabilities through coaching, peer reviews, technical guidance, and manage resource allocation and vendor interactions to meet strategic business objectives.
7+ years of software engineering experience (work experience required).
3+ years of management or leadership experience.
Experience working in regulated financial services environments (required for delivering platforms).
Experience with data engineering technologies such as Spark, Kafka, Airflow, Databricks, and cloud platforms Azure or GCP.
Strong cross-functional leadership experience managing large, multi-layered data engineering teams across locations in enterprise financial services.
Able to influence senior business, risk, and technology leaders with clear communication of complex technical and data concepts.
Experienced in enterprise-scale data platforms, data governance, DevOps practices, and building engineering cultures focused on accountability and technical excellence.