Senior Data Platform Engineer

📋 Description

• Design, deploy, and operate the production streaming platform on Kubernetes — cluster lifecycle
• Build and maintain change-data-capture and connector pipelines moving data between operational
• Own schema governance — a schema registry, compatibility rules, and versioning discipline so
• Develop custom connectors, transformations, and stream-processing logic in Java or Go where
• Build self-service onboarding so product teams can provision topics, schemas, and access through
• Automate the platform with Terraform and GitOps — no manually configured clusters, no undocumented

🎯 Requirements

• 10+ years in software, data, or platform engineering, including deep hands-on ownership of a
• Expert-level Apache Kafka (or Confluent Platform/Cloud) — administration, tuning, troubleshooting
• Strong Kafka Connect and CDC experience — Debezium, JDBC, and custom connector or transformation
• Proven schema-registry practice and compatibility management across many independent producers and
• Solid programming ability in Java, Python, or Go — enough to build connectors, transformations, and
• Strong SQL and relational database knowledge (PostgreSQL, MySQL, or equivalent), including

🎁 Benefits

• Work with an established Silicon Valley leader in the cloud infrastructure industry
• Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and
• Be a part of cutting-edge, open-source innovation
• Thrive in the high-energy environment of a young company where openness, collaboration
• Professional development and training
• Attend conferences and working groups