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About the Role

As a senior individual contributor on the Data Platform team, you will shape how KAYAK moves, stores, governs, and serves data at scale, enabling downstream teams to build faster and with greater confidence. This role involves turning ambiguity into clear technical direction and durable solutions.

Responsibilities

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.
Lead high-impact platform initiatives from problem framing and architecture design through implementation, rollout, and operational handoff.
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.
Drive the semantic layer and metadata strategy that supports consistent and trusted self-service analytics and AI-driven data access.
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.

Requirements

7+ years of professional experience in data engineering, with meaningful time spent at a senior or staff level with domain-wide technical scope.
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.
Strong Python skills and a track record of writing maintainable, testable production code.
Experience deploying and operating data workloads on Kubernetes — including managing containerized infrastructure, resource tuning and health checks.
Proven ability to influence multiple teams, communicate architectural trade-offs, and drive adoption.
Experience mentoring engineers and raising technical standards through reviews, documentation, and reusable patterns.
Comfort taking ownership of broad, ambiguous problem spaces.

Skills

Apache Iceberg
Parquet
Python
Kubernetes
Trino
Apache Airflow
AWS
CI/CD
GitHub Actions
Java

Location

Berlin

Work Type

Hybrid

Experience Level

Senior
Staff

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
No meeting Fridays
Paid parental leave
Paid volunteer time
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
Public transportation subsidies
Bike leasing program
Monthly social events
Thursday happy hours
Sports teams

About the Company

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is a 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.
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 leveraging AI and data to make it easier for everyone to experience the world.

Equal Opportunity

At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That's why we're focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here.
Need any adjustments for the interview, application or on the job? No problem – just give us a heads-up. We've got you.