Job
In this role, you will evolve the architecture of the data platform, including streaming and schema management, while defining technical standards and solving complex data engineering challenges.
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Job technologies
Your role in the team
- Design and evolve the architecture of KAYAK's shared Data Platform, including near-real-time streaming, lakehouse storage, schema management, semantic layer, and distributed query infrastructure. Make thoughtful trade-offs between latency, correctness, cost, and long-term maintainability.
- Deliver high-impact platform initiatives end-to-end - from problem framing and architecture design through implementation, rollout, and operational handoff.
- Define and promote technical standards for data contracts, schema evolution, ingestion patterns, and production readiness across platform and domain teams.
- Leiten Sie hochwirksame Plattforminitiativen von der Problemdefinition und Architekturdesign bis hin zur Implementierung, Einführung und operativen Übergabe.
- Develop reusable patterns and reference architectures for streaming ingestion, compaction, retention, schema governance, observability, and other recurring data engineering challenges.
- Establish reliable observability across the platform, including pipeline monitoring, consumer lag tracking, data quality checks, and alerting.
- Collaborate closely with Operations, Security, Engineering, Data Engineering, and Product to evolve the platform, build cross-functional support, and ensure the platform meets the needs of its users.
- Führen Sie die Semantic Layer- und Metadata-Strategie, die konsistente und vertrauenswürdige Self-Service-Analysen sowie KI-gesteuerten Datenzugriff unterstützt.
- Evaluate technologies and approaches across streaming, storage, query, orchestration, and cloud infrastructure, balancing scalability, operational complexity, cost, and maintainability.
- Coach and mentor engineers through design reviews, code reviews, pairing, and reusable technical guidance.
- Own the most complex architectural and operational challenges on the platform, including failure recovery, schema drift, partition management, and performance degradation.
Our expectations of you
Qualifications
- Strong Python skills and a track record of writing maintainable, testable production code.
- Proven ability to influence multiple teams, communicate architectural trade-offs, and drive adoption.
- Comfort taking ownership of broad, ambiguous problem spaces.
- Distributed query engines such as Trino.
- Workflow orchestration tools such as Apache Airflow.
- CI/CD and deployment automation (e.g., GitHub Actions).
- Working knowledge of Java or another JVM-based language, given the JVM-based nature of several frameworks in this domain.
Experience
- 7+ Jahre Berufserfahrung im Data Engineering, mit bedeutender Zeit auf Senior- oder Staff-Ebene mit domänenübergreifendem technischen Verantwortungsbereich.
- Experience designing and operating lakehouse architectures at scale - including open table formats (e.g., Apache Iceberg), columnar storage (Parquet) and cloud object storage.
- Experience building and operating streaming data pipelines - including event-driven ingestion, exactly-once delivery semantics, consumer lag management, checkpoint and recovery strategies, and failure handling in production environments.
- Hands-on experience with data contracts, schema governance, metadata, or semantic-layer systems.
- Experience deploying and operating data workloads on Kubernetes - including managing containerized infrastructure, resource tuning and health checks.
- Experience mentoring engineers and raising technical standards through reviews, documentation, and reusable patterns.
- Experience with AWS or an equivalent public cloud provider.
What we offer
- Work from (almost) anywhere for up to 20 days per year.
- Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth, company-paid subscription to HeadSpace, a company-wide week off per year - the whole team fully recharges (and returns without a pile-up of work!), no meeting Fridays.
- Paid parental leave.
- Paid volunteer time.
- Focus on your career growth: Development Dollars, Leadership development, Access to thousands of on-demand e-learnings.
- Travel Discounts.
- Employee Resource Groups.
- 6 weeks paid vacation + a day off for your birthday.
- Free lunch 2 days per week.
- Pension plan contributions.
- Subventionen für den öffentlichen Nahverkehr.
- Bike leasing program.
- Monthly social events, Thursday happy hours, sports teams.
- An awesome office in Friedrichshain, Berlin.
Topics you will work on
Job locations
About your employer
KAYAK is a renowned metasearch engine for travel services and is part of Booking Holdings. The company processes billions of search queries and provides travelers with a wide range of offers from various sources. With a presence in over 30 countries and AI-powered tools, KAYAK simplifies the search for flights, hotels, and rental cars.
- Established Company
- Hybrid, Onsite
- Internet, IT, Telecommunication
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