Engineering Manager, Data Engineering at Webflow

, , United States -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

247700.0

Posted On

09 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Airflow, Kafka, Spark, Lakehouse Architectures, AWS, Data Quality, Pipeline Management, Automation, Machine Learning, Analytics, Cross-Functional Collaboration, Technical Leadership, Mentoring, Operational Excellence, Communication

Industry

Software Development

Description

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 destination—supporting analytics, ML, and product use cases—while 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. About the role: Location: Remote-first (United States; BC & ON, Canada) Full-time The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. United States (all figures cited below are in USD and pertain to workers in the United States) Zone A: $175,800 - $247,700 Zone B: $164,500 - $232,200 Zone C: $154,200 - $217,600 Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) CAD $199,300 - $281,100 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. Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. 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 learning—mentoring 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. About you: Requirements: You have 2+ years of experience leading high-performing engineering teams, driving both people development and technical execution. You’ll thrive as an Engineering Manager - Data Engineering if you: Have a proven track record leading data engineering teams that design, build, and operate large-scale ingestion, transformation, and pipeline orchestration systems, with strong expertise in Airflow, Spark, Kafka, and modern lakehouse architectures like Iceberg on AWS. Navigate complex distributed data systems with confidence, making thoughtful trade-offs between cost, latency, reliability, and velocity. Balance operational excellence with pragmatic delivery — knowing when to invest in refactoring and when to ship Bring deep technical empathy for data engineers — you understand what it takes to design resilient pipelines, debug complex workflows, and maintain quality at scale. Build high-trust, cross-functional relationships that drive alignment, accountability, and transparency across Data Infrastructure, Analytics, and partner teams. Communicate with clarity and influence, connecting technical decisions to business outcomes and stakeholder needs. Champion self-service, automation, and sustainable engineering practices that scale with Webflow’s growing data ecosystem. Stay curious and growth-oriented — continuously learning new technologies like AI-driven data quality, real-time analytics, and lakehouse optimization to unlock creativity, accelerate progress, and amplify impact. Our Core Behaviors: Build lasting customer trust. We build trust by taking action that puts customer trust first. Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. Reinvent ourselves. We don't just improve what exists, we imagine what's possible. Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar. Benefits & wellness Equity ownership (RSUs) in a growing, privately-owned company 100% employer-paid healthcare, vision, and dental insurance coverage for full-time employees (working 30+ hours per week) and their dependents. Full-time employees may also be eligible for voluntary insurance options where applicable in the respective country of employment 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability leave for birthing parents to be used before child bonding leave (note: where local requirements are more generous, employees receive the greater benefit); full-time employees also have access to family planning care and reimbursement Flexible PTO for all locations and sabbatical program Access to mental wellness and professional coaching, therapy, and Employee Assistance Program Monthly stipends to support work and wellness 401k plan or pension schemes (in countries where statutorily required), and other financial wellness benefits, like CPA and financial advisor coverage 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. Stay connected Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. Please note: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review Webflow’s Applicant Privacy Notice.

Responsibilities

Lead a team of data engineers to build scalable and reliable data pipelines. Collaborate with various teams to improve data quality and enable data-driven decision-making across the organization.