Principal Software Engineer II, Data Platform (Streaming, Dynamic Tables and more)

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.

As a Principal Engineer on the Data Platform team, you will be a technical anchor — setting direction, solving the hardest engineering problems, and elevating the entire team. You will work at the intersection of systems design, long-term architecture, and real-world engineering execution. In this specific role, you will lead the evolution of our declarative data pipelines, focusing on streaming ingestion and transformations.

Responsibilities

• Drive the technical strategy and architecture for key Data Platform initiatives, focusing heavily on real-time data movement and incremental processing.
• Lead design reviews and set engineering standards across teams.
• Identify and resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve the efficiency of dynamic tables at cloud scale.
• Mentor and grow senior engineers; raise the engineering bar.
• Partner closely with product and infrastructure leadership on roadmap and direction.
• Continuous hands-on technical deliverables in the most critical areas.
• 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

• 14+ years of software engineering experience with deep expertise in distributed systems.
• Demonstrated track record of defining and delivering platform-scale technical initiatives.
• Expert-level knowledge of streaming and/or batch data systems (Flink, Spark, or equivalent), with specialized knowledge in incremental materialization algorithms.
• Strong systems thinking — ability to reason across layers of complexity (infra, storage, compute, API).
• A passion for engaging directly with customers to gain insight and inspiration
• Experience influencing technical direction across organizations
• Excellent written and verbal communication for technical and executive audiences.

DESIRABLE

• Experience with AI-augmented development practices and integrating LLM-based tooling into engineering workflows.
• Familiarity with Snowflake platform internals or cloud-native data systems.
• Experience with metadata systems, query optimization, or data catalog infrastructure.
• Contributions to open source, such as top-level Apache projects

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.