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5 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄

Director of Data Platform

Π€ΠΎΡ€ΠΌΠ°Ρ‚ Ρ€Π°Π±ΠΎΡ‚Ρ‹
onsite
Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
director
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
US
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

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TL;DR
Director of Data Platform (Data Engineering/Data Science): Building and scaling the data platform that powers company-wide reporting, analysis, and decisions across on-chain and off-chain products with an accent on reliable ingestion, trusted data models, and scalable architecture. Focus on leading multidisciplinary data teams, defining platform standards and roadmaps, improving data quality, and managing orchestration, transformation, warehouse, and BI tooling.

Location: New York, onsite

Company

Polymarket operates a peer-to-peer prediction market platform where users trade on outcomes across politics, economics, sports, culture, and current affairs.

What you will do

  • Lead, hire, and develop data engineering, analytics engineering, and data science teams.
  • Own the data platform architecture and roadmap from ingestion through modeled data layers.
  • Establish standards for data modeling, testing, freshness SLAs, incident response, and dataset ownership.
  • Partner with engineering on instrumentation and on-chain data ingestion for new products.
  • Prioritize platform investments with analytics leaders and business stakeholders.
  • Make tooling decisions across orchestration, transformation, data warehouses, and BI while managing cost, performance, and scalability.

Requirements

  • 10+ years in data engineering, analytics engineering, or data science, including 4+ years of management experience.
  • Experience leading multidisciplinary data teams and building teams through hiring.
  • Strong technical foundation in data models, architecture proposals, and query plans.
  • Production experience with modern data stack technologies such as Airflow, dbt, Spark, Databricks, Snowflake, BigQuery, ClickHouse, AWS, or GCP.
  • Track record of improving data quality and establishing trusted, dependable datasets.
  • Ability to prioritize competing stakeholder needs in a fast-moving environment.

Nice to have

  • Familiarity with on-chain data ingestion or blockchain infrastructure.
  • Experience supporting finance or regulatory reporting.
  • Experience in fintech, crypto, prediction markets, or other data-intensive financial products.

Culture & Benefits

  • Competitive salary and equity.
  • Unlimited PTO.
  • Full health, vision, and dental coverage.
  • 401(k) match.
  • Hardware setup including a new MacBook Pro, display, and accessories.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’