Software Engineer, Data Infrastructure

Overview

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!

The Data Infrastructure team at Figma builds and operates the foundational platforms that power analytics, AI, and data-driven decision-making across the company. We serve a diverse set of stakeholders, including AI Researchers, Machine Learning Engineers, Data Scientists, Product Engineers, and business teams that rely on data for insights and strategy. Our team owns and scales critical data platforms such as the Snowflake data warehouse, ML Datalake, and large-scale data movement and processing applications, managing all data flowing into and out of these platforms.

Despite being a small team, we take on high-scale, high-impact challenges. In the coming years, we’re focused on building the foundational infrastructure to support AI-powered products, developing streaming interconnects between our core systems, and revamping our orchestration and financial data architecture with a strong emphasis on data quality, reliability, and efficiency. If you're passionate about building scalable, high-performance data platforms that empower teams across Figma, we'd love to hear from you!

This is a full time role that can be held from one of our US hubs or remotely in the United States.

• Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence.
• Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company.
• Manage data ingestion, movement, and processing through core platforms like Snowflake, our ML Datalake, and real-time streaming systems.
• Improve data reliability, consistency, and performance, ensuring high-quality data for engineering, research, and business stakeholders.
• Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions.
• Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage.

• 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.
• Experience designing and building distributed data infrastructure at scale.
• Strong expertise in batch and streaming data processing technologies such as Spark, Flink, Kafka, or Airflow/Dagster.
• A proven track record of impact-driven problem-solving in a fast-paced environment.
• A strong sense of engineering excellence, with a focus on high-quality, reliable, and performant systems.
• Excellent technical communication skills, with experience working across both technical and non-technical counterparts.
• Experience mentoring and supporting engineers, fostering a culture of learning and technical excellence.

• Experience with data governance, access control, and cost optimization strategies for large-scale data platforms.
• Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster.
• Experience designing data infrastructure for AI/ML pipelines.
• The ability to navigate ambiguity, take ownership, and drive projects from inception to execution.

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.

If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below.

Job level and actual compensation will be decided…