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Salary: USD 249,500 - 355,000 / annual
Webflow is seeking a Director of Analytics Engineering to lead the design and evolution of the company's data infrastructure, modeling, and analytics capabilities. Reporting to the VP of Data & Insights, you will own a strategic vision for enterprise data architecture, aligning data models, integration patterns, governance, and AI-native systems design with business priorities and platform growth.
You will 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. Key responsibilities include designing and operationalizing a unified semantic layer with canonical datasets, enforced modeling standards, lineage graphs, and business context that powers self-serve analytics at scale and conversational data access. You'll define and enforce comprehensive standards for data modeling, metadata management, data governance, data quality, lineage, and access control.
Additionally, you will build and maintain a skills repository for analytics agents with validation frameworks to ensure data-informed decisions remain accurate and reliable. You'll represent Analytics Engineering in strategic, cross-functional discussions, bringing systems thinking and deep data lifecycle expertise 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.
The role requires 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) is essential. You should have a track record of implementing high-quality data solutions and fostering data-driven cultures.
