Senior Software Engineer, Webflow

• 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 access control
• Familiarity with event instrumentation frameworks and governance practices, ensuring event schemas, naming conventions, and data contracts remain consistent and high-quality
• Familiarity with monitoring, logging, and observability tools, ensuring reliability and performance across distributed systems
• Strong problem-solving, communication, and collaboration skills
• Stay curious and open to growth — actively building fluency in emerging technologies like AI to unlock creativity, accelerate progress, and amplify impact

Desirable

• 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
• Reporting to the Senior Manager of Engineering, Data Platform
• 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