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Director of Analytics Engineering

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Director of Analytics Engineering

Webflow

Director of Analytics Engineering

Skills

SQL QueriesData EngineeringTableauPythonSnowflakeData AnalysisAIdbtFinancial Planning

2 months ago

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Important information


Salary:

$249,500 – $355,000 / year

Location:

United States

Work mode:

Remote

Published on:

23 August 2026

What they need


Who you are

  • 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
  • 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
  • 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

What the job involves

  • 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
  • Reporting to the VP, Data & Insights
  • 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

Benefits

  • Modern & inclusive healthcare coverage
  • Retirement saving matches and financial planning
  • Flexible paid time off
  • Annual retreat and offsites
  • WFH Office setup budget
  • Health and wellness stipend
  • Remote work reimbursements for phone & wifi
  • Webflow subscription discount
  • Remote-first flexibility

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