Data Platform Engineer

The role

This role sits on the Data Engineering team and centers on the foundational systems that feed Figma's analytics, data science, and AI-driven features. The engineer will help shape an emerging ML and data platform, working where data, infrastructure, and machine learning meet. Positions can be filled from a US hub or fully remote within the United States.

What you would do

• Develop and extend the company-wide data platform used by analytics, data science, and product teams
• Speed up data engineering work by improving local environments, automated testing, release pipelines, and staging
• Provide self-service tooling so teams can build, ship, and run dependable data workflows independently
• Raise the dependability of key data systems via monitoring, quality checks, incident handling, and performance work
• Make datasets easier to discover by defining terms, assigning ownership, tracing lineage, and setting reliability expectations
• Coordinate with peer data, infrastructure, science, research, security, and product groups to set boundaries and supported patterns for varied data delivery modes

What they asked for

• Five or more years running production data systems, developer tooling, or distributed architectures
• Solid software engineering background, with Python or a comparable language, and a history of building resilient, scalable services
• Hands-on work refining developer processes such as dev environments, testing, delivery pipelines, scheduling, or deployment
• Familiarity with contemporary data infrastructure including cloud warehouses, transformation tooling, workflow schedulers, infrastructure-as-code, and observability platforms
• Proven record of fully owning shared platforms, driving unclear multi-team initiatives, and explaining technical tradeoffs clearly to varied partners

Nice to have

• Prior experience supporting machine learning or research data pipelines