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Strong Tier-1 brand, metro location, and broad technical skill requirements increase applicant competition.
Role requires financial services operational data expertise (KYC, transactions, documents), limiting cross-industry transferability.
Explicit 10+ years requirement, mandatory financial-domain expertise and specific technical stack make filters strict.
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Own and manage operational data for client/accounts, financial transactions, or documents within wealth management.
Design, build, and maintain data pipelines and APIs ensuring data accuracy, completeness, and timeliness across systems.
Monitor data quality, implement controls, track metrics, and collaborate with stakeholders to resolve data issues promptly.
10+ years experience in technology roles within financial services focused on operational data management.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline.
Strong SQL and relational database skills; proficiency in Python or similar for data pipeline development.
Experience with messaging/event-driven systems (Kafka, MQ), data quality frameworks, and RESTful API development.
Hands-on data professional with deep expertise in managing client lifecycle, financial, or document management data at scale.
Detail-oriented engineer with a proven track record building robust, reliable data pipelines and services in financial services.
Experience operating in complex, regulated environments adhering to data governance, privacy, and regulatory standards.