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 creating a scalable data foundation for AI-powered products, with a strong emphasis on architecture, reliability, and performance. You'll work with GCP, BigQuery, and AWS, and have the opportunity to mentor other engineers and raise the technical bar. Enjoy a hybrid work environment, flexible paid time off, and competitive healthcare benefits.

If this sounds like you, even if you don't check every box, we'd love to hear from you

About Later

• Design, build, and evolve the infrastructure, backend services, and platform capabilities that move data from source to decision.
• Experience building internal platforms or tooling that other engineers adopt

Responsibilities

• Own scalable infrastructure across ingestion, orchestration, storage, transformation, and consumption, including our BigQuery warehouse and lakehouse.
• Build reliable batch and real-time pipelines and dbt transformation layers, and evolve our orchestration and ingestion strategy.
• Hands-on cloud experience, ideally GCP and BigQuery, and comfort working across more than one cloud
• The judgment to make architectural decisions and explain the tradeoffs to technical and non-technical partners
• Kubernetes, and experience migrating or redesigning orchestration systems

Requirements

• 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
• 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

Preferred

Managed ingestion tools like Fivetran

• Data foundations for AI, such as vector stores, feature pipelines, or governed LLM access
• This role is for someone who likes building the system more than the individual report or model

Pay

USD 125,000 - 205,000