Engineering Manager, Data Engineering

Engineering Manager, Data Engineering

At Webflow, our mission is to bring development superpowers to everyone. As the pioneer of the Website Experience Platform (WXP), we're redefining how teams Build, Manage, and Optimize for the web combining visual development, powerful content management systems, AI-driven personalization, seamless hosting, and end-to-end analytics in a single, unified platform. With AI at the core, Webflow helps teams move faster, create more performant digital experiences, and scale without heavy engineering support. From independent designers and creative agencies to global enterprises, hundreds of thousands of organizations use Webflow to turn ideas into reality and to power what's possible on the web.

We're looking for an Engineering Manager Data Engineering to lead a core team within Webflow's Data Platform organization, building the scalable, reliable, and self-service data pipelines that power analytics, AI, and product experiences across the company. As an Engineering Manager, you'll lead a team responsible for the ingestion, transformation, and automation frameworks that ensure data moves securely and reliably from any source to any destinationsupporting analytics, ML, and product use caseswhile partnering closely with Data Infrastructure, Analytics Engineering, and Data & Insights to improve data quality, accelerate delivery velocity, and enable data-driven decision-making across Webflow.

This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.

Reporting to the Senior Engineering Manager, Data Platform, as an Engineering Manager - Data Engineering, you'll :

• Lead and grow a team of data engineers responsible for scalable, reliable, and secure ingestion, transformation, and pipeline management across batch and streaming systems.
• Drive technical excellence in the design and operation of Airflow, Kafka, Spark, and Iceberg-based data workflows, ensuring data freshness, completeness, and quality SLAs are consistently met.
• Partner with Product Management, Data Infrastructure, and Analytics Engineering to define the roadmap for ingestion, self-service pipeline automation, and data quality frameworks aligned to business goals.
• Establish and track operational metrics to improve reliability and visibility of data systems.
• Build a strong engineering culture focused on craftsmanship, ownership, and learningmentoring engineers through design reviews, incident retrospectives, and technical deep dives.
• Collaborate cross-functionally to develop declarative, self-service tools that reduce dependencies on central teams and improve "time to insight" for internal stakeholders.
• Contribute to longer-term architectural strategy for the unified data lakehouse, data catalog, and real-time infrastructure that will power Webflow's next generation of AI and ML use cases.

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

Requirements :

You'll thrive as an Engineering Manager - Data Engineering if you :

Our Core Behaviors :

Benefits & wellness

Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country / state of employment.

Be you, with us

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO) / Veterans / Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.