Data Platform Engineer

Figma · San Francisco, CA • New York, NY • United States · Engineering · listed September 21, 2026

The shape of it

Seniority
Senior
Experience asked
5+ years
Where
Not stated
Stated pay
$153,000 – $376,000 USD
Requirements listed
5
Length
958 words

In the posting’s own words

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences.

What it asks for · 5

  • 5+ years of experience building and operating production data platforms, developer infrastructure, or distributed systems
  • Strong software engineering skills (Python or similar), with experience designing reliable and scalable systems
  • Experience improving developer workflows such as local development, testing, CI/CD, orchestration, or deployment
  • Experience with modern data infrastructure, such as cloud data warehouses, transformation frameworks, workflow orchestrators, infrastructure as code, and observability tools
  • A track record of owning shared systems end to end, leading ambiguous cross-functional projects, and communicating effectively with Data Science, Infrastructure, and Product Engineering partners

Also a plus

  • Experience supporting ML or research data workflows

What the job covers

  • Build and evolve the shared data platform that powers analytics, Data Science, and data-driven product development at Figma
  • Make data development faster and easier by improving local development, testing, CI/CD, staging, and deployment workflows
  • Create self-service tools and clear paths for teams to build, deploy, and operate reliable data pipelines
  • Improve the reliability of critical data systems through better monitoring, data quality, incident response, upgrades, and performance management
  • Make trusted data easier to find and use by establishing clear definitions, ownership, lineage, and reliability expectations
  • Partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and supported patterns for batch, micro-batch, reverse ETL, and product-facing delivery

Tools and skills named

Product & design
  • Figma8×
Cloud & infra
  • CI/CD2×
  • Distributed systems
  • Observability
Models & research
  • Machine learning3×
Ways of working
  • Testing2×
  • Cross-functional
Data
  • Data pipelines
  • ETL
Languages
  • Python
Security & compliance
  • Security

Words the posting leans on

  • data22×
  • experience8×
  • systems7×
  • infrastructure6×
  • platform6×
  • product6×
  • engineering5×
  • workflows5×
  • data science4×
  • development4×
  • build3×
  • data infrastructure3×
  • data platform3×
  • design3×
  • excited3×
  • analytics2×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 22, 2026 and last changed by Figma on September 21, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.