Principal Software Engineer II - Interoperable Foundations
Bellevue, United States · Hybrid · Full-time
- Posted 1w ago
- From Snowflake’s careers page
- Location
- Bellevue, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Principal
- Experience
- 15+ years
- Department
- Engineering
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About the role
The Mission: Building the Data Foundations for AI
We are the Snowflake Interoperable Foundations organization - the foundational layer that powers Snowflake’s AI, Analytics and Data Engineering capabilities. We lead innovations across open table formats such as Apache Iceberg, helping customers build peta-byte scale multi-cloud data lakes on Snowflake. We deliver core Metadata capabilities that power Snowflake’s industry-leading performance, AI, governance and platform features.
We are embarking on a 0->1 redesign of our core systems across Interoperable Foundations. While we already manage exabyte-scale data supporting Snowflake’s AI capabilities, the next frontier is providing the foundational data layer that accelerates agentic innovation in an open, multi-format data world, You will be setting the technical vision across our investments in metadata platforms, Apache Iceberg and AI-ready storage.
YOUR IMPACT: FROM REDESIGN TO REALITY
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0->1 Architectural Leadership: Lead the ground-up redesign of our core Metadata systems, influencing the transaction frameworks that power query, DML, and AI-driven data interactions in addition to extending our lead on platform capabilities such as Zero Copy Cloning and Cross-Region / Cross-Cloud Replication.
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Iceberg Innovation: Drive industry-leading innovation on Apache Iceberg, ensuring it serves as a first-class citizen for Analytics, Data Engineering, and high-performance AI workloads.
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AI & Agentic Foundation: Build the foundational metadata capabilities - from richer metadata for AI workloads, to lifecycle management and global replication (Snowgrid)—that allow AI agents to navigate, understand, and act upon massive datasets in a secure and governed fashion.
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Scalability & Resilience: Solve "impossible" challenges in fault-tolerance, scalability, high availability, and performance for services that must meet the demands of a rapidly growing global ecosystem.
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Strategic Influence: Own the end-to-end architecture, influence the product roadmap, and identify the next innovations that will keep Snowflake at the cutting edge of the AI era.
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Mentorship: Grow the next generation of engineers, fostering a culture of rigorous innovation and technical excellence.
WHAT YOU BRING
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15+ years of experience designing and supporting large-scale distributed services.
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Deep Database Internals Expertise: Comprehensive knowledge of metadata management, query optimization, clustering, compaction, catalogs, and large-scale data management.
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Systems Mastery: Excellent understanding of distributed systems, durability and correctness fundamentals, multi-threading, memory management, and storage performance.
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Cloud-Scale Track Record: A history of implementing creative, 0->1 solutions for complex problems at massive scale.
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CS Fundamentals: Strong mastery of data structures, algorithms, and the trade-offs between consistency and performance.
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Education: BS in Computer Science; an advanced degree is preferred.
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About Snowflake
Cloud data, analytics and AI platformSnowflake provides a managed cloud platform for data engineering, analytics, AI, and building and sharing data applications.
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