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Tier-1 brand and metro location, but senior and domain-specialized, yielding medium competition.
Requires financial services data and AML domain experience, limiting cross-industry transferability.
Multiple mandatory years, financial-domain experience, and specific tech stack requirements indicate high strictness.
Lead end-to-end delivery of strategic data products and curated datasets supporting AML, Investigations, ECRR, SCV, OFAC and other Financial Crimes Technology programs.
Own technical architecture and roadmap for data platforms, pipelines, semantic models, and data products while driving data quality controls and certification processes.
Manage delivery risks, technical debt, production support, mentor engineers, and implement engineering standards and automation for data engineering processes.
10+ years experience in data engineering and data platform development.
At least 5 years of financial industry technology experience with knowledge of financial services data.
3+ years leading engineering teams or technical initiatives.
Expertise in Python, PySpark, SQL, distributed data processing; strong experience with cloud-native data architectures and large-scale ETL frameworks; data modeling and product design.
Experienced leader capable of translating complex business requirements into scalable technical data solutions in financial services compliance contexts.
Technical strategist focused on modern data architectures, ontology-driven engineering, and AI-enabled automation to increase productivity and data quality.
Proven ability to manage cross-functional stakeholder relationships including product owners, data governance, and technical teams in a global environment.