Data Platform Engineer (Python / Golang)

The platform is a multi-tenant SaaS solution for enterprise fleet management, processing continuous telemetry streams from connected vehicles, with backend built on Python/Django and Golang. The role involves owning data platform architecture, defining standards in data engineering, and collaborating on deployment patterns in a microservices architecture.

• Own data platform architecture across platform
• Define and enforce backend and data engineering standards
• Own code quality and architectural consistency
• Own event-driven integrations with 20+ external data partners
• Design and govern data models
• Define and maintain IaC architecture for owned services
• Collaborate with DevOps on deployment patterns
• Monitor production systems and drive alerting standards
• Represent backend and data constraints in planning and API discussions
• Produce and maintain architecture documentation
• Participate in planning and estimation discussions

• 5+ years Python backend in production
• 2+ years as a lead or principal on a data-heavy platform
• Typed Python at depth: Pydantic, mypy/pyright
• AWS data services in production: Lambda, Kinesis, DynamoDB, S3
• Event-driven architecture ownership
• Data engineering at principal depth: ETL/ELT
• SQL at depth: PostgreSQL and analytical engines
• Go (Golang) — 2+ years in production
• Terraform — owns IaC architecture
• Testing discipline: pytest, pytest-mock
• Apache Kafka at scale