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# Software Engineer - Data Infrastructure

- **Company:** Figma, Inc.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $153,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Big Data, Software Code Optimization, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Software Debugging, Distributed Data Store, Python (Programming Language), SQL Databases, Data Streaming, Feature Store, Data Processing, Data Ingestion, GitHub Copilot, Snowflake, Apache Spark, Backend, Build Management, Data Lakes, Apache Flink, Apache Kafka, Figma, Machine Learning Operations, Claude, GPT, Golang
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25304_3196f428b31f6d301f0a023356bc251d

## About the Role

* 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
 * Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code, Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.

## Description

* 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