Director, Data Platform

Polymarket; New York (NY); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive salary & equity

Unlimited PTO

Full Health, Vision, & Dental coverage

401k match

Hardware setup: new MacBook Pro, big, 

Job summary

Polymarket is hiring a Director of Data Platform to design and scale the data foundation powering company decisions. You will lead data engineers, analytics engineers, and data scientists, owning ingestion, transformation, and modeling pipelines while shaping architecture and data governance.

You will drive platform strategy, ensure trustworthy datasets, and collaborate with product and engineering teams as Polymarket grows across on-chain and off-chain systems.

Qualifications

• 10+ years in data engineering, analytics engineering, or data science, with 4+ years in leadership/management.
• Experience leading a multi-disciplinary data team with diverse working styles.
• Strong ability to review data models and architecture proposals and improve them.
• Production experience with modern data stack: Airflow, dbt, Spark; cloud warehouses like Databricks, Snowflake, BigQuery; AWS/GCP.
• Track record of improving data quality and trust across datasets.

Responsibilities

• Build and scale data platform architecture and roadmap for ingestion to modeled layer.
• Lead data engineers, analytics engineers, and data scientists; set standards for data modeling, testing, and ownership.
• Partner with engineering for instrumentation and on-chain data ingestion; ensure data captured before asks occur.
• Prioritize platform work with analytics leadership and business stakeholders.
• Make build-vs-buy decisions for orchestration, transformation, warehouse, and BI tooling.

Skills

Data leadership

Architecture & roadmap

Data modeling

Data quality & trust

Stakeholder prioritization

Hiring track record

Tools

Airflow

dbt

Spark

Databricks

Snowflake

BigQuery

AWS

GCP

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.

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