Staff Software Engineer - Snowhouse

Snowflake; Menlo Park (CA); On-site; USD 236,000 - 339,000; Full time

Benefits offered by this job

Bonus and equity plan

Job summary

Snowflake is seeking a Staff Software Engineer for the Snowhouse Foundation. You will lead at scale, guide engineering best practices, and own critical data infrastructure across global environments.

Ideal candidates have 12+ years in distributed systems, deep cloud experience, and strong collaboration skills to drive cross-functional initiatives.

Qualifications

• 12+ years of software development experience in distributed systems.
• Strong experience with data warehouse/data infrastructure
• Excellent communication and collaboration across teams.

Responsibilities

• Technical Leadership: provide hands-on guidance, code reviews, and establish engineering best practices.
• Technical Execution: design and implement highly available distributed platforms and data pipelines.
• Problem-space Ownership: lead cross-functional projects from idea to production.
• Cross-functional collaboration with product, data science, and business units.
• Platform ownership for reliability, observability, and SLOs.

Education

BS, MS, or PhD in Computer Science or related field

Tools

Cloud platforms (AWS, Azure, or GCP)

Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

About The Team

Staff Software Engineer - Snowhouse Foundation

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.

A successful candidate will:

• 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.

Responsibilities

• 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.

Qualifications

• Experience: 12+ years of software development experience in distributed systems, with a strong focus on data warehouse or data infrastructure engineering.
• Cloud Infrastructure: Deep experience developing resilient, large-scale services in public cloud environments (AWS, Azure, or GCP).
• Technical Depth: Demonstrated proficiency in distributed systems architecture and database fundamentals, with a track record of solving complex system design challenges.
• Communication: Excellent technical communication and collaborative problem-solving skills across multidisciplinary teams.
• Bonus Skills: Familiarity with data or ML orchestration systems across diverse architectures.
• Education: BS, MS, or PhD in Computer Science or a related technical field (or equivalent practical experience).

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Compensation

• The estimated base salary range for this role is $236,000 - $339,200.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.

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