About the company
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust.
Responsibilities
- 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.
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.
- 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.
Conditions
- Location: Remote-first (United States)
- Full-time, Permanent, Exempt
- Cash compensation tailored to geographic market zones: Zone A: $284,000 - $355,000, Zone B: $267,000 - $334,000, Zone C: $249,500 - $312,000
- Eligible for company-wide bonus program