Figma is looking to build and operate foundational platforms that power analytics, AI, and data-driven decision-making across the company.
Requirements
- 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.
- 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.
Responsibilities
- 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.
Other
- 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.
- 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.
- Ability to navigate ambiguity, take ownership, and drive projects from inception to execution.
