Manager, Data Platform

Own the roadmap for KAYAK’s shared data platform.

Lead and develop a high-performing Berlin-based team of data platform engineers.

Evolve the platform architecture across ingestion, storage, orchestration, runtime, and lakehouse foundations.

Build core capabilities such as schema registry, data contracts, observability, metadata, and semantic layer implementation.

Enforce data retention policies and platform controls for different data types and usage needs.

Improve platform reliability by building the tooling and platform capabilities needed for monitoring, alerting, incident response, and operational readiness.

Drive platform modernization and simplify legacy systems where it creates clear value.

Define clear ownership boundaries so the platform team owns shared infrastructure and raw data quality, while downstream teams own business logic.

You have 8+ years of experience in data engineering, platform engineering, data architecture, or a related role.

You have meaningful people-management experience and a high technical bar.

You have strong knowledge of large-scale data platform architecture, including streaming, batch, storage, orchestration, and distributed query engines.

You have hands-on experience with technologies relevant to KAYAK’s stack, such as Kafka, Flink, Iceberg, Trino, AWS, Kubernetes, Airflow, Python, SQL, and schema-based data contracts.

You have led platforms with high-throughput event streams and large-scale analytical data.

You have led platform migrations or infrastructure modernization efforts with strong judgment on risk, reliability, cost, and business continuity.

You are comfortable working across Engineering, Data Science, Data Engineering, Operations, Security, and Product on technically complex topics.