W
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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