Principal Analytics Engineer

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: - Founded in 1995 as Angie’s List and rebranded in 2021 - Global company with 9 brands in 8 countries and employees worldwide - Homeowners have turned to us for 300 million home projects and counting ABOUT THE TEAM The Principal Analytics Engineer for Product Analytics will shape how product data is transformed and consumed, ensuring that both human analysts and AI agents receive consistent metrics, faster iteration, and trustworthy answers. This role is central to designing and evolving an analytics architecture that radically shortens the distance from complex business questions to validated insights. As a Principal leader, you will be the connective tissue across data engineering, analytics, and product teams—architecting pipelines, semantic layers, and quality practices so they work as a singular, cohesive system. The ideal candidate is a visionary technical simplifier with deep expertise in modern data stacks, a passion for developer/analyst velocity, and a proven ability to enable partner teams. You will play a dual role: empowering human analysts to spend less time debugging and more time driving strategy, while simultaneously hardening our data layer into a load-bearing, semantic infrastructure that AI tools can query accurately and safely. WHAT YOU’LL DO Architecture & Semantic Layer Strategy - Data Product Ownership: Design, build, and evolve high-scale dbt models that transform raw upstream inputs into clean, well-documented, analytics-ready data products with clear contracts and ownership. - Agent-Safe Infrastructure: Impl

Department: Product; Team: Product