Staff Software Engineer (Snowhouse)

• The Snowhouse Foundation team builds our globally distributed data warehouse, managing vast petabyte-scale datasets that are continuously ingested, processed, and replicated across all Snowflake environments and external data sources. Snowhouse powers Snowflake’s core business, engineering, and data science operations while delivering critical customer visibility into global account activities, usage, and resource consumption

• The team drives critical investments in core data processing infrastructure, high-performance data export/ingestion, optimized data layout and compliance, and Snowflake’s system database and applications

• Deeply understand the inner workings of Snowflake and the needs of our users, exhibiting a healthy curiosity for use cases and needs that will inform future technical strategy, anticipating needs rather than reacting to them

• Be highly productive by leveraging AI-assisted engineering, empowering and creating opportunities for others, and effectively leading at scale

• Show a natural inclination to partner across teams to deliver improvements on cross-team concerns such as reliability and efficiency

• Technical Leadership: Provide hands-on guidance and code reviews, develop other engineers and raise the quality bar, establish engineering best practices across the team and contribute to the team strategy and future of the platform

• Technical Execution: Design and implement highly available distributed platforms, pipelines, and data infrastructure components to scale global data processing. Solve hard problems, use AI-assisted engineering responsibly to improve velocity and quality

• Problem-space Ownership: Lead cross-functional engineering projects from idea inception through implementation and production deployment across multiple quarters and teams. Develop a deep understanding of the underlying user and company needs

• Cross-Functional Collaboration: Partner closely with product managers, senior ICs, data science teams, and business units to deliver end-to-end data platform capabilities

• Platform Ownership: Own or co-own the reliability, observability, SLOs, capacity, and durable remediation goals for their problem space

Benefits

• Comprehensive health insurance plans

• Health savings accounts

• Robust retirement plans

• Life and disability insurance

• Weekly online lunch and learns

• Virtual workout classes

• Ergonomic work-from-home equipment

• On-demand mental health and wellness programs

• Fertility benefits and family planning resources

• Generous time-off and various leave plans

• Onsite and Remote Work

• Employee discounts and pre-tax selections

• New hire equity + Employee Stock Purchase Plan (ESPP)

• Quarterly bonus or commission program- Cloud Infrastructure: Deep experience developing resilient, large-scale services in public cloud environments (AWS, Azure, or GCP)

• Experience: 12+ years of software development experience in distributed systems, with a strong focus on data warehouse or data infrastructure engineering

• Bonus Skills: Familiarity with data or ML orchestration systems across diverse architectures

• Technical Depth: Demonstrated proficiency in distributed systems architecture and database fundamentals, with a track record of solving complex system design challenges

• Education: BS, MS, or PhD in Computer Science or a related technical field (or equivalent practical experience)

• Communication: Excellent technical communication and collaborative problem-solving skills across multidisciplinary teams