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Director, Analytics Engineering

Webflow LogoWebflow
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Salary

Zone A: $284,000 - $355,000 / Zone B: $267,000 - $334,000 / Zone C: $249,500 - $312,000

Location

U.S. Remote

Posted

Yesterday

We’re looking for a Director, Analytics Engineering to help in shaping the data infrastructure, modeling, and analytics capabilities of Webflow. You will be responsible for designing scalable data solutions, mentoring/hiring team members, and ensuring high-quality data availability for analytics and decision-making. This role bridges the gap between data engineering and insights, enabling data-driven strategies across the company.

You will be joining a results oriented, collaborative team with an established, shared understanding of our business logic, a modern data stack and lots of opportunity to extend the function to build new data analytics frameworks and establish best practices. You’ll work closely with both technical and non-technical stakeholders to transform our data in ways that improve the flexibility and repeatability of analysis. You'll also partner on metric definitions and governance, and help teams understand and improve our user experience through data. You’ll bring your expertise to improve our current processes and promote a shared language across our growing data functions at Webflow, thoughtfully developing Webflow’s data maturity for lasting impact.

We are looking for an empathetic, humble, curious and collaborative team member who is excited to strengthen our foundational data capabilities and provide creative solutions that maximize data utility at Webflow.

As a Director, Analytics Engineering you’ll …

  • Develop and own a long-term strategic vision for Webflow's enterprise data architecture - aligning data models, integration patterns, governance & AI-native systems design with business priorities and platform growth.
  • Lead, mentor, and grow a team of Analytics Engineers focused on building a scalable, reliable, and well-documented data foundation while fostering a culture of collaboration and continuous improvement.
  • Design and operationalize a unified semantic layer with canonical datasets, enforced modeling standards, lineage graphs, query corpus, and business context that powers self-serve analytics at scale, conversational data access, and advanced analytics with maintained governance and trustworthiness.
  • Define and enforce comprehensive standards for data modeling, metadata management, data governance, data quality, lineage, and access control.
  • Build and maintain a skills repository for analytics agents, including validation frameworks to ensure data-informed decisions remain accurate and reliable over time.
  • Represent Analytics Engineering in strategic, cross-functional discussions, bringing systems thinking, deep data lifecycle expertise, and a focus on AI-native architecture to unlock insights and drive data-informed decision-making.
  • Partner with other analytics teams to understand business needs, define trusted metrics, and continuously improve data systems and usability.

About you: Requirements:

  • 10+ years of hands-on experience in data and analytics engineering, with deep expertise building and maintaining scalable, reliable data models and infrastructure in modern data stack environments.
  • Proficiency with SQL, Python, data modeling, ETL/ELT, and cloud warehouses (particularly dbt, Snowflake, and Tableau).
  • Have a track record of implementing high-quality data models, testing frameworks, dashboards, and documentation standards that enable trust and reusability.

You’ll thrive as a Director, Analytics Engineering if you:

  • Possess demonstrated strategic leadership experience managing and developing high-performing analytics engineering teams.
  • Are confident in setting vision for both team growth and technical strategy, and you know how to guide others through complex decisions in data architecture and governance.
  • Communicate clearly and distill technical topics for non-technical audiences.
  • Drive adoption of data best practices across teams and work seamlessly with cross-functional stakeholders to deliver impactful solutions in fast-paced and sometimes ambiguous environments.
  • Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.

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