Six Figure Work

Staff Software Engineer - Snowhouse

Snowflake

Company websitesnowflake.com (Snowflake, opens in new tab)

Base salary $236,000  to $339,200

Employer-published annual base salary, USD. Advertised base range in Menlo Park, CA

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  • LocationMenlo Park, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (14 min ago) · observed since

About this job

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.

Staff Software Engineer - Snowhouse Foundation

About the Team

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

Source: Snowflake on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($236,000) is above 87% of the 4,294 Software Engineering roles in California listed on this site; 13 others list the same floor. Their median floor is $176,000; the middle half runs from $149,100 to $201,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.

This range next to 6 other live Snowflake roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Snowflake roles with the nearest advertised base floor
RolePublished base
Staff Software Engineer - Snowhouse (this listing)$236,000 - $339,200
Staff Software Engineer - Ingestion$236,000 - $339,200
Staff Software Engineer - Query Processing (Snowtrail)$236,000 - $339,200
Engineering Manager/Tech Lead Manager - Runtime Engineering$236,000 - $339,200
Staff Software Engineer, Snowpark Container Service$236,000 - $339,200
Engineering Manager - Snowpark$236,000 - $339,200
Engineering Manager, Bedrock$236,000 - $339,200

Same $100K to $400K scale as every card. All Snowflake roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-08-27
Where this pay comes from

Location as the employer wrote it: US-CA-Menlo Park

USD 236,000 – 339,200 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.