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New York, New York, United States
Onsite
Polymarket is the world's fastest growing prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.
We're growing quickly, both in terms of volume ($115B traded to date) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.
Polymarket is hiring a Director of Data Platform to build and scale the foundation that powers every decision across the company. You'll lead the teams responsible for our data platform, including data engineering, analytics engineering, and data science, owning everything from data ingestion and transformation through the trusted data models the business relies on every day.
You'll define the technical architecture, set the roadmap, and build a high performing organization capable of supporting one of the fastest growing businesses in technology. As Polymarket launches new products across both on-chain and off-chain systems, the data platform must evolve just as quickly, delivering reliable pipelines, trusted metrics, and an architecture that scales without constant rework.
This is a hands-on leadership role. You'll be deeply involved in technical design, data modeling, and platform strategy while building the team and operating model that enables the company to move faster. Success means creating a platform the business trusts, engineers enjoy building on, and teams can depend on as the company continues to scale.
Lead, hire, and develop a team of data engineers, analytics engineers, and data scientists, and set the bar for what good looks like across all three crafts
Own the architecture and roadmap for the data platform, from ingestion through the modeled layer that powers reporting and analysis across the company
Set the standards that make data trustworthy including modeling conventions, testing, freshness SLAs, incident response, and clear ownership of every dataset
Partner with engineering on instrumentation and on-chain data ingestion, so the platform captures what the business needs before someone has to ask for it
Work with analytics leadership and business stakeholders to prioritize platform work against the analyses and decisions it unblocks
Make the build-versus-buy and tooling calls across orchestration, transformation, warehouse, and BI, and own the cost and performance envelope that comes with them
Stay ahead of scalability constraints as volume grows and new products launch, rather than discovering them during an incident
Build the operating rhythm including planning, on-call, review practices, and documentation standards, allowing the team scale past what any one person can hold in their head
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
(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
Competitive salary & equity
Unlimited PTO
Full Health, Vision, & Dental coverage
401k match
Hardware setup: new MacBook Pro, big display, & accessories
