Wait, What Do You Do?

Grailed is looking for a Senior Data Engineer to help us build and scale the data infrastructure that powers one of the world's leading fashion resale marketplaces. Our data sits at the center of a complex, peer-to-peer marketplace and touches nearly every part of the business.  This is a hands-on role for a seasoned engineer who takes pride in reliable, well-crafted systems, and who is energized by working closely with a tight-knit team of data partners, engineers, Product Managers, Marketers, and executive leadership who depend on the data every day to make decisions and build great products.  The strongest candidates will have enough breadth of experience across different roles and environments to know that building it right matters as much as building it at all. <h3>What You'll Do</h3> <ul> <li style="font-size: 10pt;">Own the reliability, availability, and accuracy of our data infrastructure, ensuring compliance with data privacy standards</li> <li style="font-size: 10pt;">Build, maintain, and improve our data pipeline using our modern data stack (Snowflake, DBT, Airflow, Looker)</li> <li style="font-size: 10pt;">Build centralized, durable, and reusable data models that serve the broader business, built with AI and ML consumption in mind</li> <li style="font-size: 10pt;">Build and maintain a semantic layer with canonical dimension and metric definitions</li> <li style="font-size: 10pt;">Partner closely with Analysts, PMs, Engineers, Marketing, Legal, Fraud, and other stakeholders, translating business needs into actionable data solutions</li> <li style="font-size: 10pt;">Build Reverse ETL pipelines in Python; use and build APIs to move and expose data</li> <li style="font-size: 10pt;">Proactively bring in new data sources, improve existing data models, and establish SLAs/SLOs for key business dependencies</li> <li style="font-size: 10pt;">Champion data governance and help elevate the organization's data maturity — establishing standards, closing gaps, and ensuring data is handled responsibly at every layer</li> <li style="font-size: 10pt;">Own data feeds that support in-product marketing, retention communications, and Growth Marketing feeds (i.e. Google Shopping, Meta, Tiktok, etc)</li> </ul> <h3>Technical Requirements</h3> <ul> <li style="font-size: 10pt;">5+ years of engineering experience, with a strong foundation in software and data engineering, and familiarity with analytics engineering</li> <li style="font-size: 10pt;">Experience with our stack: Snowflake, DBT, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, Git</li> <li style="font-size: 10pt;">Deep experience building, maintaining, and architecting data pipelines end-to-end, ingestion through consumption</li> <li style="font-size: 10pt;">Strong SQL skills and proficiency in Python</li> <li style="font-size: 10pt;">Experience building and consuming APIs</li> </ul> <h3>What We're Looking For</h3> <ul> <li style="font-size: 10pt;">Has driven projects from scoping through delivery, owning the outcomes and not just the tasks, comfortable sitting with ambiguity but driven to resolve it</li> <li style="font-size: 10pt;">Treats data quality and observability as first-class concerns, comfortable implementing monitoring and alerting practices that catch issues before the business does</li> <li style="font-size: 10pt;">Builds with the team in mind, systems that are intuitive, approachable, and easy for others to understand, extend, and maintain</li> <li style="font-size: 10pt;">Pragmatic about technology choices, the goal is solving business problems, not chasing the latest tools</li> <li style="font-size: 10pt;">Comfortable operating with a high degree of autonomy, self-directed and able to drive work forward, while keeping the team informed and aligned along the way</li> <li style="font-size: 10pt;">Strong communicator, equally effective with engineers and non-technical stakeholders</li> <li style="font-size: 10pt;">Naturally elevates the data literacy of those around them by educating and guiding stakeholders toward better data practices</li> </ul> <h3>Nice To Have</h3> <ul> <li style="font-size: 10pt;">Familiarity with ML/data science workflows and how data engineering supports them</li> <li style="font-size: 10pt;">Exposure to search and discovery platforms</li> <li style="font-size: 10pt;">Prior experience in retail, resale, or marketplace commerce, genuine curiosity about the domain a must regardless</li> </ul> One last thing: add a quick note at the bottom of your resume (1-3 lines): what drew you to Grailed and this role, and a recent buying or selling experience on any peer-to-peer marketplace and what made it stand out or fall flat. There are no wrong answers, we actually read all of these.  <table cellspacing="0" cellpadding="0" data-sheets-root="1" data-sheets-baot="1"> <tbody> <tr> <td>GOAT Group uses geographic pay tiers based on the employee’s home state to align compensation with market differences across the U.S. Hiring Range: Tier 1 (Includes states such as California, New York (including New York City), Washington, Illinois and other higher-cost markets) $128,000 - $160,000 USD Tier 2 - (Includes mid-cost markets across the U.S.) $115,200 - $144,000 USD Tier 3 - (All other U.S. locations) $108,800 - $136,000 USD</td> </tr> </tbody> </table><div class="content-pay-transparency"><div class="pay-input"><div class="description">The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options). To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate’s skills, experience, market demands, and internal parity. You may reach out to a recruiter for additional information.</div><div class="title">Hiring Range:</div><div class="pay-range">$108,800—$160,000 USD</div></div></div><div class="content-conclusion">GOAT Group represents the leading platforms for authentic sneakers, apparel and accessories. Operating four distinct brands–GOAT, Flight Club, Grailed and alias–GOAT Group has a global community of more than 60 million members across 170 countries. Founded in 2013, Grailed is the leading community-driven marketplace for rare luxury, streetwear and vintage fashion. The marketplace was built for enthusiasts, by enthusiasts, and features products from brands including Supreme, Raf Simons, Gucci, Saint Laurent, Balenciaga, Prada and more. With a highly curated selection of resale pieces including inventory exclusive to the platform, Grailed makes fashion accessible. The company is backed by strategic investor Foot Locker, Inc. as well as some of the leading names in venture capital including Park West Asset Management, T. Rowe Price Associates, Inc., Franklin Templeton, Adage Capital Management, Ulysses Management, D1 Capital Partners, Accel, Andreessen Horowitz, Index Ventures, Matrix Partners, Upfront Ventures, Webb Investment Network and Y Combinator. GOAT Group will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, if applicable. By applying, you authorize GOAT Group to send you text messages regarding your job application, interview and/or onboarding process, and other job opportunities at GOAT Group. 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