Software Engineer, Data Systems
Gamma is an AI design platform for creating and sharing presentations, websites, documents, social posts, and graphics.
Funding history
About Gamma
Gamma Tech, Inc. provides an AI-native content-creation product that turns prompts, outlines, and imported material into designed, shareable presentations, documents, websites, graphics, and social content. It also offers a developer API for programmatic generation.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
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.
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
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
Benefits
- Equity
