Engineering Manager, Developer Impact
Zapier
Engineering Manager, Data Engineering
Webflow
full-time
Posted on:
Location Type: Remote
Location: Remote • California • 🇺🇸 United States
Visit company websiteSalary
💰 $175,800 - $247,700 per year
Job Level
JuniorMid-Level
Tech Stack
AirflowAWSKafkaSpark
About the role
- 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.
Requirements
- You have 2+ years of experience leading high-performing engineering teams, driving both people development and technical execution.
- 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.
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringpipeline orchestrationdata ingestiondata transformationAirflowKafkaSparkIcebergAWSlakehouse architecture
Soft skills
leadershipmentoringcommunicationcollaborationproblem-solvingtechnical empathyrelationship buildingaccountabilitytransparencycuriosity
