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Tier-1 brand, mid-level generalist title, metro location and common 5-8yrs profile create high competition.
Core data engineering skills transfer across industries, though financial-data domain experience is beneficial.
Explicit 5-8yr requirement, 3+ years people management, and specific data stack raise strictness.
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Provide technical leadership and collaborate with product teams to plan and execute software projects and roadmaps.
Design, develop, deploy new features/products, and maintain client-facing financial data solutions with responsibility for on-call support.
Improve existing processes, reduce technical debt, perform code reviews, and communicate project scope and timelines with stakeholders.
Bachelor's or Master's degree in Computer Science.
5-8 years of software/data engineering experience with at least 3 years in people management.
Hands-on experience with Python; advanced knowledge of distributed, massively parallel columnar databases (e.g. Vertica, AWS Redshift).
Familiarity with AWS cloud technologies (Redshift, S3, Lambda), SQL/NoSQL databases, and translating business requirements into data warehouse design.
Experienced in leading technical teams in an agile environment focusing on scalable cloud infrastructure for financial data products.
Strong background working with large-scale datasets and complex data warehouses using AWS technologies.
Capable of driving effective cross-team collaboration and high-quality product delivery with focus on operational efficiency and client experience.