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Software Engineer, Data Infrastructure

Canada🌐 Remote💼 Full-time💰 $153,000–$153,000🗓 2026-04-15 → 2026-07-31

Core

Design and build large-scale distributed data systems powering analytics, AI/ML, and business intelligence for Figma's platform.

Role type

Senior IC data infrastructure engineer

Builds

Snowflake data warehouse, ML Datalake, orchestration infrastructure, and real-time ingestion systems

Domain

SaaS design collaboration platform / Data Engineering

Deliverable

production ML models | infrastructure

Required skills

distributed data systems design, batch and streaming data processing, data reliability and consistency, cost optimization, technical communication, mentoring

Preferred skills

Golang, Python, SQL, dbt, Spark, Kafka, Snowflake, Dagster, reverse ETL, feature stores, data governance

Technologies

Snowflake, Spark, Flink, Kafka, Airflow, Dagster, dbt, Golang, Python, SQL

Responsibilities

Design and build large-scale distributed data systems; Develop batch and streaming solutions; Manage and evolve core platforms; Improve data reliability, consistency, and compliance; Identify and drive cost optimization opportunities; Collaborate with cross-functional teams to understand data needs; Drive technical decisions and best practices; Mentor and support engineers

Seniority

Senior, hands-on IC

Rewrite
## 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. ## Requirements - 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. ## Nice to 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. ## Benefits 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.
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