Senior Data Platform Engineer

Join Later as a Senior Data Platform Engineer, where you'll design, build, and evolve the infrastructure and platform capabilities that drive our data ecosystem. This role focuses on building the system rather than individual reports or models, and you'll be responsible for creating the data foundation that enables AI-powered products. You'll work with GCP, BigQuery, and AWS, and have the opportunity to mentor other engineers and raise the technical bar.

- Construire, posséder et faire évoluer la plateforme de données, y compris l'infrastructure évolutive pour l'ingestion, l'orchestration, le stockage, la transformation et la consommation. - Concevoir et posséder des pipelines fiables par lots et en temps réel, et faire évoluer notre orchestration et notre stratégie d'ingestion. - Investir dans la qualité des données, les métadonnées, la lignée, la gouvernance et la fraîcheur, et concevoir la plateforme pour absorber de nouveaux cas d'utilisation de l'IA sans rework majeur.

- Hands-on cloud experience, ideally GCP and BigQuery, and comfort working across more than one cloud - Experience with infrastructure as code, CI/CD, and workflow orchestration - Experience with batch and streaming architectures, and a working understanding of security, access control, and data governance - The judgment to make architectural decisions and explain the tradeoffs to technical and non-technical partners - 6+ years in data engineering, backend engineering, or platform engineering, with a track record of owning production data systems at scale and improving their reliability, performance, and cost - Strong backend programming skills (Python or similar), solid SQL, and experience with dbt or a similar transformation framework - If this sounds like you, even if you don't check every box, we'd love to hear from you - Experience building internal platforms or tooling that other engineers adopt - Kubernetes, and experience migrating or redesigning orchestration systems - Managed ingestion tools like Fivetran - Data foundations for AI, such as vector stores, feature pipelines, or governed LLM access