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 excited for a Senior Software Engineer, Data Infrastructure to join our Data Platform team. In this role, you’ll help design, build, and operate the core data systems that power analytics, governance, and intelligent decision-making across Webflow. You’ll work across infrastructure, orchestration, and metadata systems — ensuring that our data is discoverable, compliant, and trustworthy.

About the role:

• Location: Remote-first (United States; BC & ON, Canada; Ireland; United Kingdom; Mexico)
• 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: $150,100 - 207,100
• Zone B: $141,600 - 194,800
• Zone C: $132,100 - 184,400
• Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada)
• CAD $171,000 - 235,600

 

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 Manager of Engineering, Data Platform

 

As a Senior Software Engineer, Data Infrastructure, you’ll … 

• Build and operate core data infrastructure across Airflow, Spark, and AWS to support both batch and streaming pipelines, ensuring reliability, scalability, and performance.
• Implement and extend metadata and catalog systems (e.g., OpenMetadata) to deliver capabilities like dataset discovery, lineage, and documentation — empowering data users with visibility and self-service.
• Develop platform capabilities and event governance frameworks that enable consistent event instrumentation and publishing across data systems, ensuring schema integrity, quality, and compliance.
• Implement secure and compliant data access and policy enforcement, leveraging IAM roles, schema registries, and automation to meet governance and residency requirements (GDPR, CCPA).
• Design and operate resilient infrastructure — including VPCs, networking, high availability, and disaster recovery — with Pulumi-based automation across compute, storage, and data lake components (S3, Iceberg).
• Collaborate with Analytics, ML, and Security teams to embed metadata-driven observability, enforcement, and streamlined onboarding of datasets, pipelines, and workflows into the platform.

Participate in incident response, code reviews, and design discussions, contributing to an operationally excellent and collaborative team culture.

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:

You’ll thrive as a Senior Software Engineer if you:

• 5+ years of experience in data infrastructure, platform, or backend engineering, with hands-on expertise managing systems like Kafka, Spark, and Airflow.
• Strong proficiency with cloud environments (compute, storage, networking, IAM) and infrastructure as code using Pulumi or Terraform.
• Experience building and operating containerized workloads with Docker and Kubernetes.
• Understanding of the foundations of data governance and metadata management — including schema evolution, lineage, and acce