Director, Data Platform

About PolymarketPolymarket 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.About the RolePolymarket 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.What You'll DoLead, 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 craftsOwn the architecture and roadmap for the data platform, from ingestion through the modeled layer that powers reporting and analysis across the companySet the standards that make data trustworthy including modeling conventions, testing, freshness SLAs, incident response, and clear ownership of every datasetPartner with engineering on instrumentation and on-chain data ingestion, so the platform captures what the business needs before someone has to ask for itWork with analytics leadership and business stakeholders to prioritize platform work against the analyses and decisions it unblocksMake the build-versus-buy and tooling calls across orchestration, transformation, warehouse, and BI, and own the cost and performance envelope that comes with themStay ahead of scalability constraints as volume grows and new products launch, rather than discovering them during an incidentBuild 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 headWhat We're Looking For10+ years in data engineering, analytics engineering, or data science, including 4+ years managingExperience leading a multi-disciplinary data team, where engineers and scientists have genuinely different working styles and definitions of doneA strong technical foundation. You can review a data model, an architecture proposal, or a query plan and make it betterProduction 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 underneathA track record of raising data quality somewhere the numbers previously could not be relied on, and the judgment to know which fixes actually move trustAbility to prioritize across competing stakeholders and say no with a reason people can acceptA hiring track record. You have built a team, not only inherited oneComfortable 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 productsBenefitsCompetitive salary & equityUnlimited PTOFull Health, Vision, & Dental coverage401k matchHardware setup: new MacBook Pro, big display, & accessoriesPay Transparency Base salary range: $400,000 to $500,000 annually, plus equity and benefits.This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.LocationNew YorkEmployment TypeFull timeLocation TypeOn-siteDepartmentData