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Senior 10+ principal role at a known finance-tech brand with specialized Databricks/data engineering skills.
Strong data-engineering focus and finance/SOX experience requirements make cross-industry transfers difficult.
Explicit 10+ years plus required Python, SQL, AWS, ETL and Databricks expertise increases filter strictness.
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Architect and engineer data ingestion, maintenance, enhancement, and exposure solutions for FactSet’s Data Lake supporting internal company data.
Lead project work and influence engineering decisions across the department, collaborating with multiple internal teams and stakeholders.
Contribute to infrastructure modernization efforts, including transitions to Databricks and AI-based solutions, ensuring security and SOX compliance.
10+ years of software engineering experience with deep expertise in data engineering.
Bachelor’s or Master’s degree in Computer Science or equivalent.
Proficiency in Python, SQL, relational database design, ETL pipelines, and AWS cloud technologies including EC2.
Experience as a Lead or Principal Software Engineer; Databricks experience is highly desired.
Experienced technical leader with proven ability to lead complex data engineering projects impacting multiple organizational stakeholders.
Strong collaboration skills with a track record of working effectively with non-technical business stakeholders such as Finance, Sales, and Executive teams.
Hands-on expertise in modern data platforms and AI tool integration, particularly Databricks and AI technologies, in a regulated environment requiring security and compliance focus.