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Tier-1 bank brand and Bangalore metro increase applicant density, but senior data specialization reduces competition.
Banking data engineering leadership with domain-specific tools and regulatory controls makes background fit highly sensitive.
Explicit 7+ years, management requirement, mandatory data techs and banking controls create high shortlisting strictness.
Lead and manage multiple experienced engineering teams focused on Treasury Technology and Liquidity applications, ensuring high-quality delivery with modern technologies.
Act as technical representative collaborating with architects, engineers, and product managers to influence technology strategy, application modernization, and adherence to banking platform standards including security and scalability.
Drive resolution of technical roadblocks, oversee software development lifecycle and resource allocation, and develop engineering talent with accountability for performance management and succession planning.
7+ years of software engineering experience (including data engineering at enterprise scale).
3+ years of management or leadership experience leading engineering teams or managers.
Experience with data technologies (e.g., Spark, Kafka, Airflow, Databricks, Apache Iceberg), data platforms (Snowflake, BigQuery, Redshift), programming languages (Java, Python, SQL, Angular), and cloud platforms (Azure or GCP) with enterprise security controls.
Work Experience Required: 7+ years software engineering; 3+ years leadership explicitly mentioned.
Proven ability to lead large, multi-layered, cross-location data engineering teams in a highly regulated financial services environment with strong risk awareness.
Experience influencing global stakeholders and contributing to enterprise-wide data strategy and transformation initiatives.
Strong technical acumen in AI-driven modernization, distributed systems, APIs, microservices, and DevOps/infrastructure-as-code practices with a focus on engineering discipline and operational stability.