Software Engineer, Data Systems

You will own and evolve the end-to-end event pipeline architecture, design distributed data systems at massive scale, optimize CDC and streaming transformations, establish data-quality and reliability practices, drive data infrastructure decisions, and mentor engineers.

Responsibilities

• Own and evolve the end-to-end event pipeline architecture from Kafka ingestion through Snowflake analytics
• Design and architect distributed data systems that scale while maintaining query performance
• Lead initiatives to build and optimize CDC pipelines and streaming data transformations
• Establish best practices for data quality, pipeline reliability, and system observability
• Drive technical decisions on data modeling, infrastructure architecture, and technology choices
• Mentor engineers and elevate data engineering practices

Requirements

• 10+ years of data or software engineering experience
• Expert knowledge of Apache Kafka and event streaming platforms
• Hands-on Snowflake experience including performance optimization, cost management, and data modeling
• Foundation in Postgres, CDC patterns, and replication strategies
• Experience leading data infrastructure initiatives through major growth
• Experience establishing best practices and driving technical strategy
• Communication skills influencing technical direction
• Proficiency with dbt and Terraform
• Knowledge of data governance, GDPR, CCPA, and security best practices

Benefits

• Equity