시맨틱 레이어의 아키텍처를 설계하고 쿼리 컴파일러 및 최적화 기능을 개발해요. 15년 이상의 대규모 데이터 시스템 구축 경력이 필수이며, 컴퓨터 과학 기초와 SQL 및 관계형 모델링에 대한 깊은 이해가 필요해요. Java 사용 경험을 우대하며, 학사 학위가 필수이고 석사나 박사 학위를 우대해요. 여러 지역의 엔지니어링 팀과 협업하며 팀원의 기술적 성장을 돕는 역할을 수행해요.
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.
We are the Snowflake Semantic Views team. We build the semantic layer at the core of the Snowflake platform — the system that lets customers define logical data models (tables, dimensions, metrics, and the relationships between them) once, and then query them consistently across BI tools, SQL, and AI agents. Semantic Views turn raw physical schemas into governed, reusable business definitions, so that "revenue," "active customer," or "gross margin" mean the same thing no matter who or what is asking. We own the semantic model itself, compiler elements and query rewriter that expand semantic queries into optimized SQL over petabyte-scale data, and the surfaces that expose this layer to Cortex Analyst and the broader agent ecosystem. Our work sits at the intersection of query language, metadata, and AI-driven analytics, and it is foundational to how Snowflake customers get trustworthy answers from their data.
As a Principal Software Engineer at Snowflake you will:
Solve real business needs at large scale by applying your software engineering and analytical problem-solving skills.
Design, develop, and support the semantic modeling layer that translates semantic queries into correct, high-performance SQL.
Create architecture and design, influence the semantic layer roadmap, and take ownership over new capabilities spanning metrics, dimensions, relationships, and governance.
Ensure semantic queries produce correct results while meeting the performance and scale demands of interactive analytics over petabyte-scale data.
Partner with the Cortex and AI teams to make the semantic layer the reliable grounding source for natural-language and agent-driven analytics.
Understand the trade-offs between expressiveness, correctness, performance, and cost, and build solutions that hold up as usage grows.
Mentor and grow engineers, and raise the technical bar across the team.
Ensure operational readiness of the features we ship and meet our commitments to customers on correctness, availability, and performance.
Our ideal Principal Software Engineer will have:
15+ years of industry experience designing, building, and supporting large-scale data or systems software.
Strong computer science fundamentals including data structures, algorithms, and complexity analysis.
Deep experience with at least one of: query compilation and optimization, database or query engine internals, semantic/metrics layers, or BI and analytics infrastructure.
A strong grasp of SQL semantics and relational modeling, and an appreciation for why correctness of results is non-negotiable.
Fluency in Java or another similar object-oriented language is preferred.
A track record of identifying and implementing creative solutions to complex, ambiguous problems.
Ability to work effectively across engineering teams in multiple locations.
BS in Computer Science; Masters or PhD preferred.
Build an industry-leading Cloud Data and AI Platform.
Work on one of the most strategically important layers for both traditional BI and the emerging world of AI agents that query enterprise data.
Solve challenging technical problems in query compilation, semantics, performance at scale, and correctness.
Work closely with our customers and partners, understand their use cases and needs, and think strategically about the right problem to solve at the right time.
Join a world-class team of both industry veterans and rising stars.
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
