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Jobs / Figma

Data Platform Engineer

Figma·San Francisco, CA • New York, NY • United Statessenior

In short

  • →Construyes y evolucionas la plataforma de datos que impulsa análisis y AI en Figma.
  • →Trabajas en infraestructura de datos escalable, mejorando flujo de desarrollo, pruebas y despliegue.
  • →Eres un ingeniero clave en los primeros equipos de ML y datos, con autonomía para definir arquitectura.

No se requiere inglés, pero se trabaja en entornos multilingües.

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What they ask for

  • ✓5+ años construyendo plataformas de datos o infraestructura en producción
  • ✓Habilidades sólidas en ingeniería de software (Python o similar)
  • ✓Experiencia en mejorar flujos de desarrollo (local, CI/CD, orquestación)
  • ✓Experiencia con infraestructura moderna de datos (data warehouses, IaC, observabilidad)
  • ✓Capacidad para liderar proyectos transversales sin límites claros
  • ✓Comunicación efectiva con equipos de Data Science, Product y Seguridad

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonCloud data warehousesTransformation frameworksWorkflow orchestratorsInfrastructure as codeObservability toolsCI/CDStaging environmentsDeployment workflowsData lineage tools

Who should you write to at Figma?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! 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. This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: • 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 We’d love to hear from you if you have: • 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 While it’s not required, it’s an added plus if you also have: • Experience supporting ML or research data workflows At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure 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 experienc

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