Engineering Manager, Data Engineering
Engineering Manager, Data Engineering

Engineering Manager, Data Engineering

Full-Time 48000 - 84000 ÂŁ / year (est.) No home office possible
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Webflow

At a Glance

  • Tasks: Lead a team to build scalable data pipelines and enhance data quality across Webflow.
  • Company: Join Webflow, a pioneer in the Website Experience Platform, transforming web development.
  • Benefits: Enjoy equity ownership, comprehensive health coverage, flexible PTO, and wellness support.
  • Why this job: Make a real impact by driving innovation in data engineering and AI-driven solutions.
  • Qualifications: 2+ years leading engineering teams with expertise in data systems and pipeline orchestration.
  • Other info: Remote-first role with a focus on growth, collaboration, and a strong engineering culture.

The predicted salary is between 48000 - 84000 ÂŁ per year.

Overview

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

Responsibilities

  • 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

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.

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.

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Engineering Manager, Data Engineering employer: Webflow

Webflow is an exceptional employer that champions a remote-first work culture, offering employees the flexibility to thrive in their roles while enjoying comprehensive benefits such as 100% employer-paid healthcare and equity ownership. With a strong focus on professional growth, mentorship, and a commitment to inclusivity, Webflow empowers its team members to innovate and excel in a collaborative environment, making it an ideal place for those seeking meaningful and rewarding careers in data engineering.
Webflow

Contact Detail:

Webflow Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Engineering Manager, Data Engineering

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for those interviews! Research Webflow’s culture, values, and recent projects. Tailor your responses to show how your experience aligns with their mission of redefining web development.

✨Tip Number 3

Showcase your skills through projects! If you’ve worked on relevant data engineering projects, create a portfolio or GitHub repository. This gives you a chance to demonstrate your expertise beyond just words.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Webflow team.

We think you need these skills to ace Engineering Manager, Data Engineering

Data Engineering
Team Leadership
Airflow
Kafka
Spark
Iceberg
Pipeline Management
Data Quality Frameworks
Operational Metrics
Cross-Functional Collaboration
Technical Communication
Automation
Real-Time Analytics
Lakehouse Architectures

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience with data engineering, team leadership, and any relevant technologies like Airflow and Spark. We want to see how your skills align with our mission!

Showcase Your Leadership Style: In your application, share examples of how you've led teams in the past. We’re keen on understanding your approach to mentoring and developing engineers, as well as how you foster a collaborative environment. Let us know how you build trust and accountability!

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your achievements and experiences. We appreciate clarity and want to quickly grasp how you can contribute to our team at Webflow.

Apply Through Our Website: Don’t forget to submit your application through our official website! This ensures that your application is reviewed promptly and gives you the best chance to join our amazing team. We can’t wait to hear from you!

How to prepare for a job interview at Webflow

✨Know Your Tech Stack

Make sure you’re well-versed in the technologies mentioned in the job description, like Airflow, Kafka, and Spark. Brush up on your knowledge of modern lakehouse architectures like Iceberg on AWS, as this will show that you understand the technical requirements of the role.

✨Showcase Leadership Experience

Prepare to discuss your experience leading high-performing engineering teams. Think of specific examples where you drove both people development and technical execution. Highlight how you’ve built trust and collaboration across teams, as this aligns with the company’s core behaviours.

✨Understand the Business Impact

Be ready to connect your technical decisions to business outcomes. Research Webflow’s mission and think about how your role as an Engineering Manager can contribute to their goals. This will demonstrate your ability to align technical work with broader business objectives.

✨Ask Insightful Questions

Prepare thoughtful questions that show your interest in the role and the company. Inquire about their data quality frameworks or how they envision the future of their data platform. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Engineering Manager, Data Engineering
Webflow
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