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Tier-1 brand plus metro location but senior, specialized data role reduces broad applicant density.
Core data engineering skills transfer across industries, but finance/SOX and Databricks specialization increases sensitivity to medium.
Explicit 10+ years and mandatory data engineering stack (Python, ETL, Databricks, AWS, SQL) enforce strict filters.
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Architect and implement data ingestion, maintenance, and exposure solutions for FactSet’s internal Data Lake covering diverse company data domains.
Lead technical projects influencing engineering decisions and collaborate cross-functionally with data teams and stakeholders to support strategic outcomes.
Contribute to modernizing infrastructure from SQL to Databricks and AI-based solutions while ensuring security and SOX compliance.
Bachelor’s or Master’s degree in Computer Science or equivalent.
10+ years of software engineering experience with deep data engineering expertise.
Proficiency in Python, SQL, ETL pipelines, and experience with AWS cloud technologies.
Proven track record as Lead or Principal Software Engineer; Databricks and AI technology experience is a strong plus.
Experienced technical leader comfortable driving project work and influencing engineering across departments without formal managerial responsibilities.
Strong collaboration skills with ability to communicate complex data engineering concepts to non-technical stakeholders in corporate functions like Finance and Sales.
Demonstrated experience in modern big data environments, including cloud infrastructure, Databricks, and AI-driven solutions aligned with enterprise compliance requirements.