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Zillow
Principal Analytics Engineer
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Job Description
About the teamAt Zillow Group, we are constantly innovating ways to operate, monetize, and improve our nationwide real estate marketplace. The Data Science, Analytics and Engineering team supports several lines of business across the company by partnering closely with business leaders and engineering to model, analyze, and visualize business relevant metrics that inform both short- and long-term decision-making. Our structure is very flat and you will soon find yourself interacting directly across a wide variety of roles.
About the roleAs a Principal Analytics Engineer, you will shape the practice itself, defining how BI and analytics engineering scales across the company and how our data infrastructure evolves to meet the demands of AI-powered analytics. You will build a deep understanding of our mission, business model, and customers to identify opportunities to simplify processes, improve alignment, and strengthen our metrics platform. You will design semantic layer architecture that enables consistent, trusted data across BI, data science, and AI tools, while leading cross-organizational initiatives and influencing tooling and infrastructure decisions. This role requires deep technical expertise, strategic vision, and strong influence across teams. You Will Get ToDive deep into Zillow's internal and third party data to model data that accurately reflect our customer journey and business processes.
Design a reusable, modular semantic layer that makes metrics and dimensions consumable across BI tools, data science workflows, and AI systems, while promoting consistency across those surfaces.
Lead cross-organizational data initiatives that align with company strategy and roadmap planningDrive alignment on metric definitions and data governance standards across business linesInfluence build-versus-buy decisions for analytics tooling, semantic layer platforms, and data governance systemsMentor senior analytics engineers as well as shape strategic direction and technical standards for analytics engineering across the organizationPartner with executive stakeholders to influence how the data infrastructure must evolve to support company objectivesOperate high availability data and reporting within SLA through quality alerting, detecting issues before customers and resolving with a sense of urgency.
This role has been categorized as a Remote position. \
About the roleAs a Principal Analytics Engineer, you will shape the practice itself, defining how BI and analytics engineering scales across the company and how our data infrastructure evolves to meet the demands of AI-powered analytics. You will build a deep understanding of our mission, business model, and customers to identify opportunities to simplify processes, improve alignment, and strengthen our metrics platform. You will design semantic layer architecture that enables consistent, trusted data across BI, data science, and AI tools, while leading cross-organizational initiatives and influencing tooling and infrastructure decisions. This role requires deep technical expertise, strategic vision, and strong influence across teams. You Will Get ToDive deep into Zillow's internal and third party data to model data that accurately reflect our customer journey and business processes.
Design a reusable, modular semantic layer that makes metrics and dimensions consumable across BI tools, data science workflows, and AI systems, while promoting consistency across those surfaces.
Lead cross-organizational data initiatives that align with company strategy and roadmap planningDrive alignment on metric definitions and data governance standards across business linesInfluence build-versus-buy decisions for analytics tooling, semantic layer platforms, and data governance systemsMentor senior analytics engineers as well as shape strategic direction and technical standards for analytics engineering across the organizationPartner with executive stakeholders to influence how the data infrastructure must evolve to support company objectivesOperate high availability data and reporting within SLA through quality alerting, detecting issues before customers and resolving with a sense of urgency.
This role has been categorized as a Remote position. \