# Staff Software Engineer - Snowhouse

**Company**: Snowflake
**Location**: Menlo Park, CA
**Experience**: staff
**Job type**: full-time
**Salary**: $236K – $339.2K
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.ashbyhq.com/snowflake/68b45abb-f1d6-46b2-a30e-c551076e7e7e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_58c4e244-8d1

## 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.

## 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.

## 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).

## Skills

### Required
- distributed systems
- data warehouse
- data infrastructure engineering
- cloud infrastructure
- public cloud environments
- distributed systems architecture
- database fundamentals

### Nice to have
- data or ML orchestration systems

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Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/snowflake/68b45abb-f1d6-46b2-a30e-c551076e7e7e?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)