Principal Software Engineer II - Interoperable Foundations
Lead · Гибрид · Белвью, США · Английский B2
Навыки
DAX / Power Query
Распределённые системы
Лидерство
Оптимизация запросов
Роадмап
Iceberg / Delta Lake
О компании и продукте
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.
Задачи
FROM REDESIGN TO REALITY
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
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
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
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
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
Mentorship: Grow the next generation of engineers, fostering a culture of rigorous innovation and technical excellence
Требования
15+ years of experience designing and supporting large-scale distributed services
Deep Database Internals Expertise: Comprehensive knowledge of metadata management, query optimization, clustering, compaction, catalogs, and large-scale data management
Systems Mastery: Excellent understanding of distributed systems, durability and correctness fundamentals, multi-threading, memory management, and storage performance
Cloud-Scale Track Record: A history of implementing creative, 0->1 solutions for complex problems at massive scale
CS Fundamentals: Strong mastery of data structures, algorithms, and the trade-offs between consistency and performance
Education: BS in Computer Science
an advanced degree is preferred
Why Snowflake?
Build an industry-leading Cloud Data and AI Platform, solving challenging technical problems related to security, parallelism, distributed systems, and large-scale system maintenance
Join a world-class team and innovate with rigor
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data
Snowflake employees must abide by the company’s data security plan as an essential part of their duties
It is every employee's duty to keep customer information secure and confidential
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
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
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Формат работыГибрид
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Зарплата≈ 22 000 USD в месяцнаша оценка, в вакансии не названа
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ashbyОсновная публикация · 2026-04-13
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