Director, Data Platform
Polymarket · On-site
MeritLog read this listing from Polymarket's Ashby job board and last checked it on September 10, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- On-site
- Salary
- $400,000 – $500,000 per year
- Location
- New York
- Company website
- www.checkout.com
Hiring context
How this role compares at Polymarket
Polymarket has 77 live roles in MeritLog’s catalog across 10 job families, and 22 of them are in data & analytics. 55 of those listings publish a pay range, a disclosure rate of 71%.
This role's posted range of $400,000 – $500,000 per year sits above 98% of the 54 other Polymarket roles quoted over the same currency and period.
Polymarket concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
ABOUT POLYMARKET 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. ABOUT THE ROLE 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. WHAT YOU'LL DO - 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 WHAT WE'RE LOOKING FOR - 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 BENEFITS - Competitive salary & equity - Unlimited PTO - Full Health, Vision, & Dental coverage - 401k match - Hardware setup: new MacBook Pro, big display, & accessories PAY 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.
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