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Software Engineer, Data Systems

Gamma
San Francisco, CA
HybridUSD 230,000 - 310,000 / year

About this role

About the Role Gamma is seeking a Data Engineer to own and scale its data infrastructure and architecture as the company grows to hundreds of millions of users and petabytes of data. You’ll define the technical direction for end-to-end event pipelines and design distributed systems with reliability at scale, while guiding data infrastructure across the company. What You'll Do

  • Own and evolve our end-to-end event pipeline architecture, from Kafka ingestion through Snowflake analytics, setting technical direction for data infrastructure
  • Design and architect distributed data systems that scale to orders of magnitude more data volume while maintaining world-class query performance
  • Lead initiatives to build and optimize CDC pipelines and streaming data transformations at massive scale
  • Establish best practices for data quality, pipeline reliability, and system observability across the organization
  • Drive strategic technical decisions about data modeling, infrastructure architecture, and technology choices
  • Mentor engineers and elevate data engineering practices across analytics, product, and engineering teams What We're Looking For
  • 10+ years as a data or software engineer with deep expertise in distributed systems, data infrastructure, and high-growth SaaS products at massive scale
  • Expert-level knowledge of Apache Kafka (producers, consumers, Kafka Connect, stream processing) and event streaming platforms
  • Extensive hands-on experience with Snowflake, including performance optimization, cost management, and data modeling; strong foundation in Postgres, CDC patterns, and replication strategies
  • Proven track record architecting and leading major data infrastructure initiatives through orders-of-magnitude growth
  • Experience establishing best practices and driving technical strategy across organizations
  • Strong communication skills with a history of influencing technical direction across engineering, analytics, and leadership
  • Proficiency with dbt, Terraform, and working knowledge of data governance, privacy compliance (GDPR, CCPA), and security best practices Compensation & Benefits
  • Base salary range: $230,000 - $310,000 per year, plus benefits & equity. Final offer amounts are determined by multiple factors, including experience and expertise in the requirements listed above.
  • Benefits and equity are provided in addition to base salary.

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