Principal Engineer

Role Summary

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.

Streamlit in Snowflake (SiS) is our flagship app development platform, enabling data engineers, analysts, and developers to build and deploy interactive, data-driven applications directly within Snowflake. As Principal Engineer for the Streamlit in Snowflake team, you will be the top technical voice shaping how millions of users build and deploy apps on Snowflake's data platform.

This role requires a rare combination: deep hands-on engineering expertise in Python/container runtimes, a systems architect's instinct for platform design, and the organizational influence to drive cross-team programs. You will define how SiS evolves from its container-native SPCS runtime and embedding/iframe SDK, to its developer experience, performance at scale, and integration with Snowflake's broader AI and data ecosystem.

AS THE PRINCIPAL ENGINEER FOR STREAMLIT IN SNOWFLAKE YOU WILL:

• Define and own the architectural vision for the SiS platform spanning the SPCS container runtime, the warehouse runtime, the embedding SDK, developer tooling, and the Snowsight integration layer.
• Drive the platform's evolution toward its next-generation capabilities building on publicly shipping features like chromeless viewer URLs and IdP integration, and shaping the architectural direction for areas still in development.
• Serve as the primary technical representative for SiS in company-wide architecture forums, shaping Snowflake's broader app platform strategy.
• Establish engineering standards for performance, reliability, and scale ensuring SiS can handle many concurrent users with fast startup times and high availability.
• Lead the technical design and review process for high-stakes, cross-functional initiatives: working closely with infrastructure, Snowsight, Cortex/AI, security, and the open-source Streamlit project.
• Be a strong hands-on contributor by authoring specs, implementing changes, reviewing PRs, and setting a high bar for code quality, API design, and system architecture.
• Mentor and grow senior engineers on the team; identify and incubate the next generation of technical leaders. Level up the team through your example and high standards and knowledge sharing.
• Partner with Product and Design to drive the roadmap and translate customer needs (performance, scale, OSS parity) into robust engineering solutions.
• Advocate for SiS developers and end users by balancing the developer experience of Python engineers with the scalability needs of enterprise customers embedding Streamlit.

Responsibilities

• 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 http://careers.snowflake.com

Requirements

OUR IDEAL PRINCIPAL ENGINEER WILL HAVE

• 15+ years of software engineering experience, with a demonstrated track record of architecting and shipping production-grade developer platforms or application runtimes.
• Strong expertise in Python application runtimes, server-side frameworks, and distributed execution environments with a deep understanding of performance, reliability, and lifecycle management at scale.
• Strong understanding of container-based execution environments (Docker, Kubernetes, SPCS or similar) and the performance/reliability tradeoffs they introduce.
• Hands-on experience designing and evolving developer-facing SDKs, embedding APIs, or component libraries including thoughtful API versioning and backward compatibility.
• Demonstrated ability to lead technical programs that span multiple teams and organizational boundaries driving clarity, alignment, and accountability without direct authority.
• Experience with enterprise SaaS reliability requirements: multi-tenancy, scale, security review processes, and graceful migrations.
• Familiarity with the open-source Streamlit framework or similar Python-based app frameworks is a strong plus.
• Experience working with IdP integrations, OAuth flows, or authentication systems for embedded/public-facing web applications is a plus.
• (nice to have) Familiarity with the web platform (TypeScript/JavaScript, browser APIs, WebSockets, service workers, iframe/cross-origin security models) particularly as it relates to how Python-backed apps are served and embedded in the browser

WHY JOIN THE STREAMLIT IN SNOWFLAKE TEAM AT SNOWFLAKE?

Streamlit is one of the most loved developer tools in the data ecosystem and Streamlit in Snowflake is how we bring that experience to millions of enterprise users at scale. As a member of this team, you will:

• Shape the future of data app development determining how the next generation of SiS runs, scales, and integrates with Snowflake's AI and data platform.
• Solve genuinely hard problems at the intersection of distributed systems, web platform engineering, and developer experience from sub-second cold starts to embedding apps inside third-party products.
• Work alongside the core Streamlit open-source contributors and influence the direction of one of the fastest-growing Python frameworks.
• Join a tight-knit, high-ownership engineering team that has shipped SiS vNext from private preview to GA and is now building the features that will define the next chapter of the product.
• Be part of a company that combines the resources and reach of a market leader with a decisive, ship-it-today engineering culture.

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.

About the Company

ABOUT THE AI PRODUCTS TEAM

The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily.

This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses.

Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications.

AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL

WHY JOIN THIS TEAM

This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders.