Staff Data Platform Engineer

📋 Description

• Design and evolve the architecture of KAYAK’s shared Data Platform, including near-real-time
• Deliver high-impact platform initiatives end-to-end — from problem framing and architecture design
• Define and promote technical standards for data contracts, schema evolution, ingestion patterns
• Develop reusable patterns and reference architectures for streaming ingestion, compaction
• Establish reliable observability across the platform, including pipeline monitoring, consumer lag
• Collaborate closely with Operations, Security, Engineering, Data Engineering, and Product to evolve

🎯 Requirements

• 7+ years of professional experience in data engineering, with meaningful time spent at a senior or
• Experience designing and operating lakehouse architectures at scale — including open table formats
• Experience building and operating streaming data pipelines — including event-driven ingestion
• Hands-on experience with data contracts, schema governance, metadata, or semantic-layer systems
• Strong Python skills and a track record of writing maintainable, testable production code
• Experience deploying and operating data workloads on Kubernetes — including managing containerized

🎁 Benefits

• Work from (almost) anywhere for up to 20 days per year
• Company-paid therapy sessions through SpringHealth
• Company-paid subscription to HeadSpace
• Company-wide week off a year – the whole team fully recharges (and returns without a pile-up of
• No meeting Fridays
• Paid parental leave