Software Engineer, Data Infrastructure
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.
What this role actually needs.
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. Responsibilities: - Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence across Figma. - Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company. - Manage and evolve core platforms like Snowflake, our ML Datalake, orchestration infrastructure, and real-time ingestion systems. - Improve data reliability, consistency, and compliance, ensuring high-quality data for engineering, research, and business stakeholders. - Identify and drive cost optimization opportunities across data processing, compute infrastructure, and storage. - Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions. Requirements: - Holding interviews in an accessible location - Enabling closed captioning on video conferencing - Ensuring all written communication be compatible with screen readers - Changing the mode or format of interviews Benefits: - Holding interviews in an accessible location - Enabling closed captioning on video conferencing - Ensuring all written communication be compatible with screen readers - Changing the mode or format of interviews Company context: Figma builds collaborative design and development tools with broad hiring across software, product, AI, and platform teams.
Day-to-day expectations
Figma lists these responsibilities for the Software Engineer, Data Infrastructure role.
- Design and build large-scale distributed data systems that power analytics, AI/ML, and business intelligence across Figma.
- Develop batch and streaming solutions to ensure data is reliable, efficient, and scalable across the company.
- Manage and evolve core platforms like Snowflake, our ML Datalake, orchestration infrastructure, and real-time ingestion systems.
- Improve data reliability, consistency, and compliance, ensuring high-quality data for engineering, research, and business stakeholders.
- Identify and drive cost optimization opportunities across data processing, compute infrastructure, and storage.
- Collaborate with AI researchers, data scientists, product engineers, and business teams to understand data needs and build scalable solutions.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- Holding interviews in an accessible location
- Enabling closed captioning on video conferencing
- Ensuring all written communication be compatible with screen readers
- Changing the mode or format of interviews
Why people would want this job
Figma published these compensation, benefits, or working-context details with the role.
- Holding interviews in an accessible location
- Enabling closed captioning on video conferencing
- Ensuring all written communication be compatible with screen readers
- Changing the mode or format of interviews
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Source: boards.greenhouse.io · Source ID: 5551686004 · Confidence: 93/100 · Last checked: May 7, 2026
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