Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.
The Data Platform team builds the foundation that powers everything from Stitch Fix's signature personalization to our most cutting-edge AI innovations. We exist to make our data scientists and engineers wildly productive - by delivering fast, flexible, and trusted infrastructure that fuels experimentation, recommendations, insights, and now, a whole new generation of AI/ML-powered experiences.
About the RoleAs a Data Platform Engineer, you'll evolve Stitch Fix's modern data stack to support the next wave of AI/ML-powered products, analytics, and knowledge systems. This is a high-impact individual contributor role on the Data Platform team.
You’ll help make our data platform easier to scale, easier to find information in, and more reliable as we build AI into our workflows. You’ll work with teams across the company to make sure our systems can support smarter automation and deliver better insights.
You're excited about this opportunity because you will…- Evolve our core data stack (Spark, Trino, Iceberg, Kafka, Flink) to meet the scale and latency demands of AI workloads
- Define and implement observability, lineage, and access standards for our data products and AI applications
- Support critical data pipelines while creating abstractions that simplify end-user interactions
- Unify workflows from data ingestion to model serving, ensuring a shared foundation for feature stores, ML observability, and semantic modeling
- You have 5-8 years of experience building cloud-scale data infrastructure or ML platforms
- You're hands-on with Spark, SQL, and Python and/or Scala with strong experience building scalable APIs and services
- You understand streaming systems such as Kafka or Flink and how to design for real-time insights
- You have experience with orchestration systems, CI/CD, and production monitoring
- You're interested in defining data product standards, governance-by-design, and AI observability metrics
- You're detail-oriented, curious, and passionate about building infrastructure people love to use
- We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
- We cultivate a community of diverse perspectives— all voices are heard and valued.
- We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail.
- We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
- We boldly create the future while keeping equity and sustainability at the center of all that we do.
- We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
- We offer comprehensive compensation packages and inclusive health and wellness benefits.
Compensation and Benefits
This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.
This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.
Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy
Recruiting Fraud Alert:
To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.
Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email [email protected].
You can read more about Recruiting Scam Awareness on our FAQ page here: https://support.stitchfix.com/hc/en-us/articles/1500007169402-Recruiting-Scam-Awareness
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