Software Engineer, Data Infrastructure
Builds and scales distributed data infrastructure powering analytics, AI/ML, and BI at Figma. Requires 5+ years backend experience with batch/streaming tech like Spark, Kafka, and expertise in Snowflake, Golang/Python.
About the job
What you'll do at Figma
- 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.
We’d love to hear from you if you have
- 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.
While it’s not required, it’s an added plus if you also have
- 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.
Compensation
Annual Base Salary Range: $153,000—$376,000 USD
Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles.
Skills
Spark, Flink, Kafka, Airflow, Dagster, Snowflake, Go, Python, SQL, dbt
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