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# Data Platform Engineer

- **Company:** Figma, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $153,000
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Cloud Database, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Sharing, Data Systems, Database Development, Distributed Systems, Python (Programming Language), Operational Databases, Screen Reader, Software Engineering, Delivery Pipeline, Grafana, Data Analytics, Figma, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_f9d9719eab6bfd86273a5a9049ba8335

## About the Role

* 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, Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.

## Description

* 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, * Enabling closed captioning on video conferencing
 * Ensuring all written communication be compatible with screen readers
 * Changing the mode or format of interviews

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.