[Hiring] Lead Analytics Engineer @The Knot

Role Description

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.

Qualifications

• 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.

Benefits

• Starting pay is determined based on a combination of factors which may include location/market, education, experience, skills, and other qualifications of the successful candidate.
• Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, commissions, equity or sales incentives, if applicable.
• We also offer benefits to eligible employees including medical, dental, retirement, and generous leave policies.
• Annual salary range: $134,865 - $231,198 USD.

What We Love About You

• Commit to our customers: You act as one team on behalf of our customers. You lead with head and heart, and build what matters for life's most meaningful moments.
• Raise the bar: You define "great" and work backwards. You don't just accept how it's been done, but boldly define how it should be. You are unafraid to innovate, learn, and keep moving forward toward our shared vision.
• Be all in: You believe in our mission and take ownership of your work. You debate openly to reach the best outcomes, speaking with clarity and care, embracing diverse perspectives, then commit fully.
• Celebrate impact: You measure success by the outcomes you create. You hold yourself accountable to delivering value, while recognizing progress and the lessons learned along the way. You love to win, together.

What You Love About Us

We provide meaningful, high-impact benefits designed to support the holistic well-being of our diverse workforce and help our people thrive both professionally and personally. From physical and mental wellness to flexible time off, our programs are built around the moments that matter most.