Figma Logo

Figma

Software Engineer - Data Infrastructure

Job Posted 15 Days Ago Posted 15 Days Ago
Hybrid
San Francisco, CA
149K-350K Annually
Senior level
Hybrid
San Francisco, CA
149K-350K Annually
Senior level
Design and build distributed data systems, develop batch and streaming solutions, manage data platforms, and collaborate with various teams for scalable data solutions.
The summary above was generated by AI

Figma is growing our team of passionate people on a mission to make design accessible to all. Born on the Web, Figma helps entire product teams brainstorm, design and build better products — from start to finish. Whether it’s consolidating tools, simplifying workflows, or collaborating across teams and time zones, Figma makes the design process faster, more efficient, and fun while keeping everyone on the same page. From great products to long-lasting companies, we believe that nothing great is made alone—come make with us!

The Data Infrastructure team at Figma builds and operates the foundational platforms that power analytics, AI, and data-driven decision-making across the company. We serve a diverse set of stakeholders, including AI Researchers, Machine Learning Engineers, Data Scientists, Product Engineers, and business teams that rely on data for insights and strategy. Our team owns and scales critical data platforms such as the Snowflake data warehouse, ML Datalake, and large-scale data movement and processing applications, managing all data flowing into and out of these platforms.

Despite being a small team, we take on high-scale, high-impact challenges. In the coming years, we’re focused on building the foundational infrastructure to support AI-powered products, developing streaming interconnects between our core systems, and revamping our orchestration and financial data architecture with a strong emphasis on data quality, reliability, and efficiency. If you're passionate about building scalable, high-performance data platforms that empower teams across Figma, we'd love to hear from you!

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

  • 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.

We’d love to hear from you if you have:

  • 6+ years of 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.
  • 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.
  • The ability to navigate ambiguity, take ownership, and drive projects from inception to execution.
  • Experience mentoring and supporting engineers, fostering a culture of learning and technical excellence.

While it’s not required, it’s an added plus if you also have:

  • 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.

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.

Pay Transparency Disclosure

If based in Figma’s San Francisco or New York hub offices, this role has the annual base salary range stated below.    

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. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information. 

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. Figma’s compensation and benefits are subject to change and may be modified in the future. You may view our Pay Transparency Policy by clicking on the corresponding link.

Annual Base Salary Range (SF/NY Hub):

$149,000$350,000 USD

At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. 

Examples of accommodations include but are not limited to: 

  • Holding interviews in an accessible location
  • Enabling closed captioning on video conferencing
  • Ensuring all written communication be compatible with screen readers
  • Changing the mode or format of interviews 

By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with the applicable candidate section of Figma's Privacy Policy.

Top Skills

Airflow
Dagster
Flink
Go
Kafka
Python
Snowflake
Spark
SQL
HQ

Figma San Francisco, California, USA Office

Our San Francisco Hub is downtown, located near convenient transit options (MUNI + Bart), green spaces, and cafes.

Similar Jobs

18 Hours Ago
Hybrid
San Mateo, CA, USA
234K-284K Annually
Senior level
234K-284K Annually
Senior level
Computer Vision • Gaming • Software • Virtual Reality • Web3 • Metaverse
The Senior Software Engineer will develop and scale data infrastructure to analyze user behavior, ensuring compliance, and improving platform performance at Roblox.
Top Skills: GoJavaKubernetesPythonSpark
20 Hours Ago
Hybrid
Palo Alto, CA, USA
150K-183K Annually
Senior level
150K-183K Annually
Senior level
Big Data • Information Technology • Productivity • Software • Analytics • Business Intelligence • Consulting
Develop high-performance backend systems, optimize SQL processing, and mentor teammates while improving project delivery and documentation.
Top Skills: JavaSQL
14 Days Ago
Hybrid
Santa Monica, CA, USA
152K-224K Annually
Senior level
152K-224K Annually
Senior level
AdTech • Digital Media • News + Entertainment
Lead Software Engineer responsible for developing and managing Big Data infrastructure, optimizing performance, scalability, and collaborating with product teams to deliver large-scale data processing solutions.
Top Skills: DeltaDockerEksElbEmrFlinkGlueHadoopHiveHudiIamIcebergKmsKubernetesPrestoRangerS3SparkSpinnakerTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account