





Tier‑1 brand and metro location increase applicant density, but managerial data specialization limits generalist applicants.
Core data engineering skills transfer broadly, though financial regulatory and enterprise‑security experience increases domain specificity.
Explicit 7+ engineering and 3+ management years plus specific enterprise data tech and regulatory experience make filters strict.
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Manage and develop engineering teams building Corporate Accounting Data applications with modern technology.
Ensure adherence to architecture and non-functional requirements, manage software development cycles including escalated issue resolution.
Act as a technical and strategic liaison influencing product roadmaps, cross-team initiatives, and enterprise data strategy within a regulated financial environment.
7+ years of software engineering experience.
3+ years of management or leadership experience.
Experience with software engineering at enterprise scale, specifically data engineering preferred but not mandatory.
Work Experience Required: 7+ years software engineering; 3+ years management.
Experienced leader in large, multi-layered data engineering teams with cross-functional influence in regulated financial services.
Strong technical background with expertise in data technologies (Spark, Kafka, Airflow), cloud platforms (Azure/GCP), distributed systems, and data governance.
Capable of operating strategically with senior stakeholders to influence global data strategies and deliver technology modernization.