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ANGI·USA·4 дн назад
Principal Analytics Engineer
13 750 – 20 000 $
≈ 1,2 млн–1,7 млн ₽
🌍 УдалённоSeniorПолная занятость🌐 Глобал
88
Сильная вакансия
Платят на 161% выше медианы грейда, навык востребован (python).
Наша компания
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.
Наши требования
Hands-on experience working directly with dbt and Snowflake in a high-scale environment
Practical experience implementing data mesh architectures or federated data ownership models
Exposure to AI/LLM tooling as a data consumer, with a strong conceptual grasp of what clean, well-structured data requires to be successfully queried by AI agents and assistants
Bachelor's in computer science or a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields)
12+ years of experience in analytics engineering, data engineering with heavy analytics partnership, or an equivalent technical data role
Expert-level SQL and strong Python proficiency for advanced data work, with a proven track record of delivering on a modern data stack (transformation-as-code, orchestration, warehouses, and BI)
Experience with data governance tooling, including data catalogs, lineage systems, and policy-aware access patterns
Exceptional cross-functional leadership skills with a history of influencing engineering and product teams without direct authority
Strong technical communication skills, with the unique ability to explain complex modeling decisions to a product analyst without jargon, and to a platform engineer without oversimplifying
Мы предлагаем
The salary band for this position ranges from $165,000 - $240,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living
This position will be eligible for a competitive year end performance bonus & equity package
Full medical, dental, vision package to fit your needs
Flexible vacation policy; work hard and take time when you need it
Pet discount plans & retirement plan with company match (401K)
The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences
Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making
Дополнительно
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
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: Implement critical guardrails, clear grain definitions, meaningful metadata descriptions, and approved access paths so AI tools and agents can query data accurately without bypassing governance
Semantic Evolution: Shape how metrics are defined and exposed so that analysts, dashboards, and AI tools all return the same answer to the same question, turning the semantic layer into production-grade infrastructure for AI-powered BI
Friction Elimination: Translate recurring analyst pain points—such as ambiguous metrics, broken joins, or undocumented fields—into durable, reusable models, patterns, and shared interfaces
Quality & Governance Standards: Set and hold the bar for what "done" means for a data product, embedding robust testing, freshness expectations, data catalogs, and metadata ownership into the development lifecycle
Cross-Functional Alignment: Coordinate across data platforms and product teams to map use cases, eliminate duplicate work, surface technical tradeoffs early, and drastically reduce cycle times from business question to trusted answer
Shared Frameworks: Collaborate with data and analytics engineering peers to establish and maintain global patterns, package management, and repository best practices
Mentorship & Review: Raise the collective engineering bar across the organization by running technical reviews, hosting office hours, and leading pair-programming sessions with domain analysts and engineers
Технологии и навыки
ANGI
USA
ГрейдSenior
ЗанятостьПолная занятость
РегионСША
ФорматУдалённо
ИсточникСкрыто
Опубликовано4 дн назад
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