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Tier-1 brand, mid-level generalist data role, metro location, and broad cloud/data skill requirements.
Data engineering skills are transferable, but financial services domain requirements moderately reduce portability.
Explicit 5+ years, mandatory database/cloud skills and financial services domain expectations increase filter strictness.
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Design, build, and modernize database-driven and distributed data platforms supporting investment banking, capital markets, risk, analytics, and regulatory workflows.
Lead technical delivery and coordinate multiple global squads focusing on cloud migration, legacy modernization, and AI-assisted engineering practices.
Contribute to architecture review boards, engineering governance, and ensure compliance with secure coding, automated testing, and regulatory standards.
5+ years of applied experience with formal training or certification in software engineering concepts.
Strong expertise in database engineering, architecture, and data platform modernization, including proficiency with database querying languages.
Experience delivering cloud and data platform solutions using technologies such as AWS, Azure, Snowflake, Databricks, Spark, or Hadoop.
Experience leading AI-assisted software development tool adoption with strong understanding of responsible AI usage and compliance.
Experienced in financial services domains like investment banking, capital markets, risk, analytics, or regulatory compliance.
Proven leader capable of setting technical direction across global teams and driving engineering governance.
Familiar with agile methodologies, CI/CD, application resiliency, and secure software development life cycles in complex enterprise environments.