Manager, Data Platform

<p style="min-height:1.5em">KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We’re also transforming business travel with a new corporate travel solution, KAYAK for Business.</p><p style="min-height:1.5em">As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world.</p><p style="min-height:1.5em">KAYAK is seeking an Engineering Manager to lead the development and evolution of its shared data platform in a hands-on technical leadership role. This is a senior, hands-on leadership role. You will lead a Berlin-based team, set technical direction, make key architecture decisions, and get directly involved in the hardest platform and reliability problems. The team owns shared data infrastructure and raw data quality foundations, including ingestion, storage, orchestration, runtime, and platform governance. You will work closely with Engineering, Data Science, Data Engineering, Operations, Security, and Product partners to build a scalable, trusted, and cost-effective platform for analytics, reporting, experimentation, and machine learning.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>This role is required to work from our Berlin office 3 days per week.</strong></p><p style="min-height:1.5em"></p><h2><strong>In this role, you will:</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Own the roadmap </strong>for KAYAK’s shared data platform.</p></li><li><p style="min-height:1.5em"><strong>Lead and develop a high-performing Berlin-based team </strong>of data platform engineers.</p></li><li><p style="min-height:1.5em"><strong>Evolve the platform architecture </strong>across ingestion, storage, orchestration, runtime, and lakehouse foundations.</p></li><li><p style="min-height:1.5em"><strong>Build core capabilities </strong>such as schema registry, data contracts, observability, metadata, and semantic layer implementation.</p></li><li><p style="min-height:1.5em"><strong>Enforce data retention policies and platform controls </strong>for different data types and usage needs.</p></li><li><p style="min-...

Applications are completed on the original provider's site. Review the employer and posting before sharing personal information.