Jobs → Data & Analytics → Python Data Platform Engineer

About the Role We are seeking an experienced Senior Python Data Platform Engineer to complete and productionize a critical event-streaming service that powers customer activity data across various GTM platforms. Key Responsibilities • Take ownership of an existing partially completed Python service • Migrate a legacy Kafka-based integration to the company's Eventing Platform • Improve data quality and validate downstream integrations • Deliver a fully operational solution with documentation and knowledge transfer Requirements • 10+ years of software engineering experience • Strong hands-on Python development experience in production environments • Experience building and operating event-driven and streaming systems • Strong Kafka knowledge and experience with pub/sub architectures • Experience with Protobuf schemas, schema evolution, and event versioning • Experience with Segment or similar Customer Data Platforms (CDPs) • Working knowledge of Go sufficient to understand and analyze existing code • Strong SQL and Snowflake experience for data validation and reconciliation • Experience with monitoring, observability, and operational support of distributed systems • Proven experience taking over unfinished projects and successfully delivering them to production • Experience with GraphQL clients for enriching events from internal data services • Experience with TLS/mTLS for service-to-service auth • Experience with Kubernetes or equivalent container platform (health checks, rollouts, resource tuning)