Staff Software Engineer - Snowhouse Foundation (Data Infrastructure)

Location: Menlo Park, California, United States

Salary: $236,000–$339,200 per year

Company

Snowflake provides a cloud data platform and operates large-scale data warehouse infrastructure for business, engineering, data science, and customer analytics.

What you will do

• Design and implement highly available distributed platforms, pipelines, and data infrastructure components for global data processing.
• Lead cross-functional engineering projects from inception through production deployment across multiple quarters and teams.
• Provide hands-on technical guidance, conduct code reviews, develop engineers, and establish engineering best practices.
• Partner with product managers, senior individual contributors, data science teams, and business units to deliver end-to-end data platform capabilities.
• Own reliability, observability, SLOs, capacity, and durable remediation for the assigned problem space.
• Use AI-assisted engineering responsibly to improve development velocity and quality.

Requirements

• 12+ years of software development experience in distributed systems, focused on data warehouse or data infrastructure engineering.
• Deep experience building resilient, large-scale services in AWS, Azure, or GCP.
• Strong proficiency in distributed systems architecture, database fundamentals, and complex system design.
• Excellent technical communication and collaborative problem-solving skills across multidisciplinary teams.
• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
• Ability to follow confidentiality and security standards for handling sensitive customer data.

Nice to have

• Familiarity with data or ML orchestration systems across diverse architectures.

Culture & Benefits

• AI-assisted engineering is encouraged as part of the working approach.
• Emphasis on low-ego collaboration, experimentation, and challenging ordinary thinking.
• Opportunities to influence technical strategy and platform direction at scale.
• Confidentiality and customer data security are treated as essential responsibilities.