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Tier-1 bank brand, metro location, and managerial data role increase applicant competition.
Data engineering and governance skills transfer across industries, though banking domain knowledge is beneficial.
Explicit 5+ years, 2+ years leading, and mandatory Big Data/cloud/governance skills enforce strict filtering.
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Lead multiple software engineering teams focused on financial technologies by providing technical coaching, governance, and advisory across teams.
Own accountability for coding governance, process implementation, and decision-making impacting resources, tactical operations, and delivery outcomes.
Drive adoption and scaling of AI-assisted engineering and SDLC automation practices, establishing measurable expectations like throughput and defect reduction, and ensuring security and compliance.
5+ years of applied software engineering experience plus 2+ years leading technical teams handling complex domain challenges.
Proven experience with Java full stack development and building performant APIs processing high volume payloads.
Strong expertise in Big Data and cloud technologies (AWS Big Data services such as Lambda, Glue, EMR, Spark architecture, Kafka).
Experience with data management, data catalog, data governance domains, and leading enterprise-wide AI-assisted development tool adoption and governance.
Experienced leader capable of managing cross-functional technical teams within large financial services environments.
Technical expert in domain-driven design, microservices, event-driven streaming architectures, and automation of SDLC (CI/CD, performance, resiliency).
Influential in operationalizing responsible AI practices within engineering workflows and able to coach and influence leadership on AI governance and secure scaling.