Staff Software Engineer (Data Platform)

Extensive experience building and operating real-time, event-driven data processing systems at scale Hands-on experience managing and scaling Kafka clusters and streaming data pipelines in a production environment Deep expertise in event streaming architectures and messaging systems (Kafka, Kinesis, or similar) Strong proficiency with Snowflake, ClickHouse and data modeling Experience working across multi-cloud environments (GCP and AWS preferred) Proficiency in SQL and programming languages Go, Python, or Java Familiarity with observability and monitoring tools (Datadog, Grafana, Monte Carlo etc.) Experience with source/version control (Git) and CI/CD workflows for data systems Demonstrated ability to write production code and design scalable, fault-tolerant data infrastructure Track record of mentoring engineers

Design, build, and optimize high-performance data pipelines Implement and maintain real-time streaming pipelines using Kafka and databases Refactor legacy data systems Build robust observability and alerting systems Contribute to systems engineering efforts Partner closely with Software Engineers, Data Analysts, Data Engineers, and Systems Admins Drive architectural decisions and evaluate tooling Mentor other engineers on data pipeline best practices Document architecture, runbooks, and operational processes Identify and implement internal process improvements