Lead Analytics Engineer

In more than ten countries around the world, The Knot Worldwide champions the power of celebration. Our global family of brands provide best-in-class products, services and content to take celebration planning from inspiration to action. At the core of our business is our industry-leading global online wedding Vendor Marketplace, connecting couples with local wedding professionals and a comprehensive suite of personalized wedding websites, planning tools, invitations, and registry services that make wedding planning easier for couples around the globe. Each year, we connect more than 4.5 million users with around 900,000 global small businesses through our Vendor Marketplace.

LIFE AT TKWW

At The Knot Worldwide, we believe in doing work that matters. Each year, we help millions of couples around the world celebrate life's most meaningful moments, while also helping hundreds of thousands of global small business owners get discovered and scale. Life here means working alongside a team that cares deeply, not just about the work you do, but about the life you live. We prioritize employee well-being and development through meaningful opportunities for growth, and we celebrate milestones and wins in a big way. After all, celebrations are what we do best.

ABOUT THE ROLE AND OUR TEAM

The Principal Analytics Engineer will architect the data and analytics infrastructure that lets our data science and analytics teams build on shared, trusted foundations across Growth & Lifecycle, Marketplace, eCommerce, WeddingWire, and International. You will own the business-context layer on top of Data Engineering's pipelines and the semantic layer that serves as the single source of truth. You will partner closely with Data Engineering, Data Science, Analytics, and business leaders, reporting to the Senior Director of Data Science. This is a hands-on architect role whose impact is measured by how much faster and more consistent the whole organization's analytics becomes.

RESPONSIBILITIES:

• 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.

SUCCESSFUL PRINCIPAL ANALYTICS ENGINEER CANDIDATES HAVE:

• 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.

Bonus: experience with experimentation infrastructure and test result analysis, open source or published writing on analytics architecture, or coaching analytics engineers and data analysts.

WORK MODEL:

This role is fully remote and not tied to any specific office location. While there are no regular in-office requirements, we encourage our remote team members to gather intentionally for key company and team events to stay connected and engaged.

#LI-Remote 

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