Software Engineer, Data Infrastructure
F
FigmaSoftware
US hubs or remotely in the United StatesFull-TimeMiddle
Salary153000 - 376000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- KafkaSnowflakeAirflowSpark
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.
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.
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