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About the Role: This role owns the data platform that the investment team’s research and reporting run on. Every model, every piece of analysis, every report downstream depends on this pipeline being correct and reliable, if the data platform breaks or drifts, bad data quietly flows into investment decisions. This is a hands-on, build-and-own mandate, not a maintenance role.
What You’ll Do:
  • Design, build, and maintain ETL pipelines feeding the firm’s data platform
  • Own the Databricks environment: ingestion, transformation, and performance
  • Partner with the investment and research teams to understand what data they need and in what shape
  • Monitor data quality and build safeguards against silent failures
  • Improve pipeline reliability and scalability as data volume and sources grow
Must-haves:
  • Hands-on production experience with ETL pipeline design (this is non-negotiable for the role)
  • Hands-on production experience with Databricks (this is non-negotiable for the role)
  • Strong SQL and Python
  • Experience owning a data platform end to end, not just a single pipeline
Nice-to-haves:
  • Experience in financial services or investment management
  • Experience with cloud data warehousing (Snowflake, Redshift, or similar)
  • Familiarity with workflow orchestration tools (Airflow, Dagster)
  • Exposure to data governance or lineage tooling

Also on the board Same function, level within a rung

Level

Lead

Location

New York, NY

Occupation

Data Warehousing Specialists

Industry

Custom Computer Programming Services

Posted

4 days ago

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