Lead Analytics Engineer

Overview

Lead the architecture of shared data models and semantic layers that let data science and analytics teams build on trusted, common foundations across The Knot Worldwide's business zones.

What you'll do

• Design the shared data model and semantic layer so analytical teams reference shared datasets instead of rebuilding them.
• Define the authoritative source of truth for core business metrics and govern how those definitions change, so executives see one set of numbers across teams.
• Set and enforce standards for dataset structure, naming, documentation, testing, and Tier 1 vs. Tier 2+ reporting, with playbooks that teams follow.
• Architect the self-serve layer that lets stakeholders answer their own questions in BI tools without filing a data request.
• Partner with Data Engineering on the shared roadmap, data contracts, and warehouse performance and cost.
• Own data and BI issues end to end, from root cause to resolution, and escalate when they stall.
• Coach Data Science and Analytics practitioners on dimensional modeling, semantic layer use, and self-serve analytics.

What you'll need

• 7+ years of experience building analytics infrastructure, data platforms, or data engineering at scale.
• Expert-level data modeling (dimensional modeling, star schema, fact and dimension tables) and SQL, with experience in a cloud warehouse such as Snowflake.
• Expert-level experience with dbt and data pipeline orchestration (Airflow or equivalent).
• Expert-level experience with semantic layers and BI tools (Cube, Semantic Views, Preset, Looker, or equivalent).
• A track record of building reusable datasets and standards that multiple teams adopt, and of enabling AI tools for non-technical stakeholders.
• Strong communication: you can explain complex data architecture to non-technical stakeholders and influence them without direct authority.
• Systems thinking: you optimize for organizational impact across zones, not individual team wins.

Nice to have

• Experience with experimentation infrastructure and test result analysis.
• Open source or published writing on analytics architecture.
• Experience coaching analytics engineers and data analysts.

Details

• Fully remote, not tied to any specific office location.
• Encouraged to gather intentionally for key company and team events.
• Reports to the Senior Director of Data Science.
• Annual salary range $134,865 to $231,198 USD, plus benefits for eligible employees.