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Evolving data platform architecture for travel search engine, making trade-offs between latency, cost, and maintainability. 7+ years data engineering experience, lakehouse and streaming pipelines required. Company-paid therapy, HeadSpace, and week off.
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Anforderungen
- 7+ years of professional data engineering experience, senior/staff level
- Designing and operating lakehouse architectures at scale
- Building and operating streaming data pipelines
- Hands-on experience with data contracts, schema governance, metadata, or semantic-layer systems
- Strong Python skills, maintainable, testable production code
- Deploying and operating data workloads on Kubernetes
- Ability to influence multiple teams, communicate architectural trade-offs, drive adoption
- Mentoring engineers, raising technical standards
- Ownership of broad, ambiguous problem spaces
- Distributed query engines such as Trino
- Workflow orchestration tools such as Apache Airflow
- Experience with AWS or equivalent public cloud provider
- CI/CD and deployment automation (e.g., GitHub Actions)
- Working knowledge of Java or another JVM-based language
Aufgaben
- Design and evolve the Data Platform architecture
- Make thoughtful trade-offs between latency, correctness, cost, and maintainability
- Deliver high-impact platform initiatives end-to-end
- Define and promote technical standards for data contracts, schema evolution, ingestion patterns, and production readiness
- Lead high-impact platform initiatives from problem framing through operational handoff
- Develop reusable patterns and reference architectures for data engineering challenges
- Establish reliable observability across the platform
- Collaborate with Operations, Security, Engineering, Data Engineering, and Product to evolve the platform
- Build cross-functional support for the platform
- Ensure the platform meets user needs
- Drive the semantic layer and metadata strategy
- Evaluate technologies and approaches across streaming, storage, query, orchestration, and cloud infrastructure
- Coach and mentor engineers through design and code reviews
- Provide reusable technical guidance
- Own complex architectural and operational challenges on the platform
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Company-paid therapy sessions
- Company-paid HeadSpace subscription
- Company-wide week off
- 6 weeks paid vacation
- Day off for birthday
- No meeting Fridays
- Paid parental leave
- Paid volunteer time
- Development Dollars
- Leadership development
- Access to on-demand e-learnings
- Travel discounts
- Employee Resource Groups
- Free lunch 2 days per week
- Pension plan contributions
- Public transportation subsidies
- Bike leasing program
- Monthly social events
- Thursday happy hours
- Sports teams
- Office in Friedrichshain, Berlin
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens KAYAK erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei KAYAKÜber das Unternehmen
The company is the world’s leading travel search engine, helping users find flights, stays, rental cars, and vacation packages.
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