Data Platform Engineer

Figma is a design and collaboration platform company that helps teams bring ideas to life through real-time creative workflows and AI-enabled products. Figma is seeking a Data Platform Engineer to build foundational data and machine learning platform systems, improve development and deployment workflows, enable reliable self-service data pipelines, and support analytics and production AI systems.

Responsibilities:

• 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

Requirements:

• • 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
• • Experience supporting ML or research data workflows