Senior Data Platform Engineer — AI-Ready Data Foundation

Engg; Boston, San Francisco (MA, CA); On-site; USD 125,000 - 205,000; Full time

Job summary

Later is seeking a Senior Data Platform Engineer to own the data foundation that powers AI-enabled products. You will design, build, and evolve infrastructure and backend services, enabling engineers, analysts, and data scientists to work efficiently across GCP, AWS, and BigQuery.

You will shape data movement, governance, and security while treating the platform as a product for internal teams. This role emphasizes reliability, cost awareness, and scalable architecture.

Qualifications

• 6+ years in data/backend/platform engineering with production data systems at scale.
• Strong Python/SQL skills and dbt or similar transformation tooling.
• Hands-on cloud experience, preferably GCP and BigQuery, across multiple clouds.
• Experience with infrastructure as code, CI/CD, and workflow orchestration.
• Experience with batch and streaming architectures, security, access control, and governance.
• Judgment to make architectural tradeoffs and explain them to partners.
• Nice to have Kubernetes, and familiarity with migration/redesign of orchestration systems.
• Experience with ingestion tools like Fivetran and building internal platforms.

Responsibilities

• Build, own, and evolve the data platform and its services.
• Design scalable ingestion, orchestration, storage, transformation, and consumption pipelines.
• Evolve the BigQuery warehouse/lakehouse and modernize existing components.
• Create reliable batch and real-time data pipelines and dbt layers.
• Improve orchestration, ingestion strategies, and connector evaluations.
• Mentor engineers and raise the technical bar across teams.
• Develop APIs, services, and integrations for data movement across clouds.
• Implement IaC, CI/CD, observability, and data quality controls.

Skills

Python

SQL

dbt

GCP

BigQuery

infrastructure as code

CI/CD

data governance

security

Kubernetes

Fivetran

internal platform

vector stores

Tools

BigQuery

AWS

Job description

Later is seeking a Senior Data Platform Engineer to own the data foundation that powers AI-enabled products. You will design, build, and evolve infrastructure and backend services, enabling engineers, analysts, and data scientists to work efficiently across GCP, AWS, and BigQuery.

You will shape data movement, governance, and security while treating the platform as a product for internal teams. This role emphasizes reliability, cost awareness, and scalable architecture.