> Markdown version of [/jobs/ext/2712355-software-engineer-in-snowhouse-foundation](https://www.wearedevelopers.com/jobs/ext/2712355-software-engineer-in-snowhouse-foundation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # SOFTWARE ENGINEER IN SNOWHOUSE FOUNDATION - **Company:** Snowflake Inc. - **Location:** Menlo Park, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Logic, Microsoft Azure, Databases, Data Infrastructure, Data Warehousing, Distributed Data Store, Distributed Systems, Software Engineering, Google Cloud, Cloud Platform System, Snowflake, Information Technology - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/principal-software-engineer-i-snowhouse-foundation-snowflake-com-8303534 ## About the Role * 15+ years of experience in distributed systems, some of which are in data warehouse or data infrastructure software development. * Strong track record of delivering large scale and resilient distributed systems and services. * Extensive and strong development experience in cloud environments, such as AWS, Azure, and GCP. * Strong collaboration and communication skills. * Experience in distributed systems and databases. * Experience in ML is a plus. * Strong hands-on skills. Can dive deep into the complex system design and implementation when needed. * BS/MS/PhD in Computer Science or related majors, or equivalent experience. ## 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. The Snowhouse Foundation team builds our globally distributed data warehouse. We manage a vast array of petabyte scale data sets that are continuously ingested, processed and replicated from across all Snowflake environments and external data sources. Snowhouse powers all of Snowflake's core business, engineering and data science needs and provides customers with full visibility into their account activities, usage, and resource consumption from all their global environments. The team is investing in multiple critical areas, including a pipeline authoring platform, high performance/high efficiency data export, ingestion and data layout. Our team is also responsible for a fundamental product for Snowflake's customers: the Snowflake system database/application that provides customers with all usage insights they need to reason about their global Snowflake footprint as well as 1st party business logic such as ML powered functions and Budgeting applications., * Design and implement innovative highly available distributed platforms and pipelines and enhance the overall Snowflake data infrastructure * Lead and drive projects from idea formulation to design, implementation and successful productionization. * Collaborate with product managers, architects, other engineering teams, data science organizations, business groups, on end to end solutions. * Provide strong technical leadership to the team and partner teams. * Enable the data science organization, business groups, engineering teams to build comprehensive analytics quickly and effectively. ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Are Software Engineer Wages Being Pushed Down? 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