[Remote] Software Engineer - Data Infrastructure
Note: The job is a remote job and is open to candidates in USA. Figma is a company on a mission to make design accessible to all, and they are seeking a Software Engineer for their Data Infrastructure team. This role involves building and managing data systems that support analytics and AI/ML, while collaborating with various stakeholders to optimize data processing and ensure high-quality data across the organization.
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
- Drive technical decisions and best practices for data ingestion, orchestration, processing, and storage
- Mentor and support engineers, fostering a culture of learning and technical excellence
Skills
- 5+ years of backend or infrastructure engineering experience, including 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
- Proven track record of impact-driven problem-solving in fast-paced environments, with a strong focus on high-quality, reliable, and performant systems
- Excellent technical communication skills, with experience collaborating across both technical and non-technical stakeholders
- Experience mentoring engineers and fostering a culture of learning and technical excellence
- Familiarity with our stack, including Golang, Python, SQL, frameworks such as dbt, and technologies like Spark, Kafka, Snowflake, and Dagster
- Experience building data infrastructure for AI/ML pipelines, including model serving, feature stores, or dataset compliance
- Experience with reverse ETL, personalization platforms, or real-time event ingestion systems
- Experience with data governance, access control, and cost optimization strategies for large-scale data platforms
- The ability to navigate ambiguity, take ownership, and drive projects from inception to execution
Benefits
- Equity to employees
- Health, dental, and vision coverage
- Retirement benefits with company contributions
- Parental leave and reproductive or family planning support
- Mental health and wellness benefits
- Paid time off
- Paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws
- Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave.
- PTO is subject to manager approval.
- Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts.
- Sales incentive compensation for most sales roles
- An annual bonus plan for eligible non-sales roles
Company Overview
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