InternFlow

Greenhouse ·

full-time

Data Platform Engineer

Figma · San Francisco, CA • New York, NY • United States

Figma is a company in the design and collaboration software space, focused on creating tools that streamline workflows for teams brainstorming, prototyping, and developing products. As a Data Platform Engineer, you will join the Data Engineering team to build and maintain the foundational systems that support the company's data-driven product development and AI initiatives. Your day-to-day responsibilities will involve developing shared data platforms, improving developer workflows like CI/CD and testing, and creating self-service tools for data pipelines. You will focus on enhancing the reliability and performance of critical data systems while ensuring data quality and lineage. This role requires close collaboration with Data Science, Infrastructure, and Product Engineering teams to bridge the gap between raw data and product-facing experiences. The position is well-suited for an experienced engineer with a strong background in distributed systems, software engineering, and modern data infrastructure who is eager to shape the architecture behind scalable machine learning and analytics workflows.

data engineeringdata platformdistributed systemsmachine learning infrastructurepythonci/cddata pipelinessoftware engineering

Education

  • Level: Bachelor's degree
Data EngineeringHybrid5-5 yrs experience

Key Skills

PythonCI/CDcloud data warehousestransformation frameworksworkflow orchestratorsinfrastructure as codeobservability toolsdata pipelinesmonitoringdata qualityincident responseperformance managementMLresearch data workflows

Experience required

5-5 years experience
0 yrs10+ yrs

About the Role Figma is building a data platform to power AI‑driven products and data experiences. The role sits on the Data Engineering team and focuses on building scalable, reliable systems for analytics, data science, and product development. Responsibilities Build and evolve the shared data platform that powers analytics, Data Science, and data‑driven product development. Improve local development, testing, CI/CD, staging, and deployment workflows. Create self‑service tools for building, deploying, and operating reliable data pipelines. Enhance reliability of critical data systems via monitoring, data quality, incident response, upgrades, and performance management. Establish clear data definitions, ownership, lineage, and reliability expectations. Partner across Data Engineering, Data Infrastructure, Data Science, Research, Modeling Platform, Security, and Product Engineering to define ownership boundaries and supported patterns for batch, micro‑batch, reverse ETL, and product‑facing delivery. Requirements 5+ years of experience building and operating production data platforms, developer infrastructure, or distributed systems. Strong software engineering skills, especially Python or similar. Experience improving developer workflows such as local development, testing, CI/CD, orchestration, or deployment. Experience with modern data infrastructure: cloud data warehouses, transformation frameworks, workflow orchestrators, infrastructure as code, and observability tools. Track record of owning shared systems end‑to‑end, leading ambiguous cross‑functional projects, and communicating effectively with Data Science, Infrastructure, and Product Engineering partners. Preferred Experience supporting ML or research data workflows. Eligibility

Skills for this role

PythonCI/CDcloud data warehousestransformation frameworksworkflow orchestratorsinfrastructure as codeobservability toolsdata pipelinesmonitoringdata qualityincident responseperformance managementMLresearch data workflows

Required skills

PythonCI/CDcloud data warehousestransformation frameworksworkflow orchestratorsinfrastructure as codeobservability toolsdata pipelinesmonitoringdata qualityincident responseperformance managementMLresearch data workflows

Also mentioned in the listing

data engineeringdata platformdistributed systemsmachine learning infrastructuresoftware engineering
RoleData Platform Engineer
CompanyFigma
LocationSan Francisco, CA • New York, NY • United States
CompensationNot disclosed
Posted2026-09-21
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

0/4

Data Platform Engineer at Figma: frequently asked questions

Who can apply for the Data Platform Engineer role at Figma?
The listing asks for Bachelor's degree; 5-5 years of experience.
What skills does the Data Platform Engineer role require?
The listing highlights Python, CI/CD, cloud data warehouses, transformation frameworks, workflow orchestrators, infrastructure as code, observability tools, data pipelines, monitoring, data quality. Show each of these in a project or past role on your resume.
What is the salary for this role?
Figma has not stated compensation in the listing. Check the original posting or ask during the application process.
Is the Data Platform Engineer position remote, hybrid or onsite?
The listing marks this role as hybrid, with San Francisco, CA • New York, NY • United States as the location.
What is the application deadline?
Figma has not listed a fixed deadline, so apply early in case the opening is filled.
How do I apply for the Data Platform Engineer role?
Use the Apply button on this page. It opens the original listing on boards.greenhouse.io, where you submit your application with the company.

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