Director, Data Platform
On-siteNew York City, New York, United States or New York, United States
Job Summary
Lead and develop a multi-disciplinary team of data engineers, analytics engineers, and data scientists while defining the technical architecture and roadmap for the data platform. Own the full lifecycle from ingestion through transformation to trusted models that power reporting and analysis across the company. Set standards for data quality, freshness SLAs, and incident response, and partner with engineering to instrument on-chain data ingestion. Make tooling and build-versus-buy decisions across orchestration, transformation, and cloud warehouses to manage cost and performance as volume grows. Establish the operating rhythm including planning, on-call rotation, and review practices to enable the team to scale. This hands-on leadership role supports Polymarket's rapid expansion as the world's fastest-growing prediction market platform.
Required Qualifications
- 10+ years in data engineering, analytics engineering, or data science, including 4+ years managing
- Experience leading a multi-disciplinary data team, where engineers and scientists have genuinely different working styles and definitions of done
- A strong technical foundation. You can review a data model, an architecture proposal, or a query plan and make it better
- Production experience across the modern data stack: orchestration and transformation such as Airflow, dbt, or Spark, a cloud warehouse such as Databricks, Snowflake, BigQuery, or ClickHouse, and AWS or GCP underneath
- A track record of raising data quality somewhere the numbers previously could not be relied on, and the judgment to know which fixes actually move trust
- Ability to prioritize across competing stakeholders and say no with a reason people can accept
- A hiring track record. You have built a team, not only inherited one
- Comfortable operating in a fast-moving environment where business logic changes frequently and you need to keep pace
Desired Qualifications
- (Plus) Familiarity with on-chain data ingestion or blockchain infrastructure
- (Plus) Experience supporting finance or regulatory reporting, where accuracy is not negotiable
- (Plus) Experience in fintech, crypto, prediction markets, or other data-intensive financial products
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