Principal Business Intelligence Engineer

Zillow

Principal Business Intelligence Engineer shaping the practice of BI and analytics engineering at Zillow Group. Drive company strategy through data initiatives and influence tooling and infrastructure decisions.

Posted 5/27/2026full-timeRemote • California, Colorado, Connecticut, District of Columbia, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Nevada, New Jersey, New York, Ohio, Rhode Island, Vermont, Washington • 🇺🇸 United StatesLead💰 $168,600 - $269,400 per yearWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Dive 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 planning
Drive alignment on metric definitions and data governance standards across business lines
Influence build-versus-buy decisions for analytics tooling, semantic layer platforms, and data governance systems
Mentor senior analytics engineers as well as shape strategic direction and technical standards for analytics engineering across the organization
Partner with executive stakeholders to influence how the data infrastructure must evolve to support company objectives
Operate high availability data and reporting within SLA through quality alerting, detecting issues before customers and resolving with a sense of urgency.

Requirements

What you’ll need

8+ years of professional experience in analytics engineering, data engineering, visualization, or a related technical data role
Experience shipping customer facing, production grade reporting on time and accurately every day.
Expert-level SQL and data modeling skills with experience designing data architectures that span multiple business domains
Excellent communication and partner management skills, with a consistent ability to gain alignment and influence across product development, engineering, analytics, finance, sales and operations.
Deep experience with semantic layer design, metrics-as-code patterns, and data governance at organizational scale
Strong understanding of how AI systems, conversational analytics tools, and machine learning workflows consume structured data
Experience evaluating and adopting analytics engineering tooling at the organizational level (dbt, Databricks, Snowflake, or similar)

Benefits

Comp & perks

equity awards based on factors such as experience, performance and location

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata modelingdata architecturesemantic layer designmetrics-as-codedata governanceanalytics engineeringdata engineeringvisualization

Soft Skills

communicationpartner managementinfluencealignmentmentoringleadershipcollaborationproblem-solvingurgency