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.
About the RoleWe are hiring a Senior Software Engineer for our Data Platform team - the team that owns the core streaming execution and database internals powering Snowflake's platform. You'll work deep in the stack: stream processing runtimes, query execution engines, storage layers, and the distributed systems primitive that everything else is built on.
AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL:Design and implement high-throughput stream processing systems with strong correctness guarantees - exactly-once semantics, out-of-order event handling, low-latency execution
Work on database internals - query execution, operator design, storage engine components, or transaction processing at cloud scale
Own features and systems end-to-end: design, implementation, testing, deployment, and production observability
Drive architectural decisions that shape the long-term evolution of Snowflake's streaming and core platform layers
Mentor engineers through design reviews, code reviews, and technical guidance
Partner across product, infrastructure, and research teams to deliver high-impact, foundational capabilities
5+ years of software engineering experience in distributed systems, query engines, streaming infrastructure, or database internals (or equivalent, including research)
BS/MS/PhD in Computer Science or related field - graduate research in streaming systems, query processing, or database engines is a strong differentiator
Deep expertise in distributed systems: consistency, fault tolerance, replication, state management
Hands-on experience with stream processing systems - building, operating, or extending them (industry or academic)
Proficiency across multiple languages such asJava, Scala, C++, and Python, with a track record of production systems at scale
Proficiency with AI-native software engineering and agentic development workflows
Ability to lead complex technical projects independently with minimal direction
BONUS POINTS FOR:Experience with stream processing engine internals (e.g., state backends, checkpointing, runtime, or operator development) in systems like Apache Flink, Spark Structured Streaming, or similar.
Experience with SQL engine internals: query optimization, execution plan design, storage formats, or transaction layers
Published research or thesis work in streaming, real-time query processing, or distributed computation
Contributions to open-source data infrastructure or database systems
Familiarity with Spec Driven Development (SDD) and Test Driven Development (TDD)
Familiarity with formal verification
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
Skills Required
- 5+ years of software engineering experience focused on distributed systems, data infrastructure, or backend platforms
- BS/MS/PhD in Computer Science, Engineering, or related field, or equivalent practical experience
- Strong foundation in distributed systems principles (consistency, replication, fault tolerance, data partitioning)
- Proficiency in Java, Scala, Python, or C++ with track record delivering production systems at scale
- Demonstrated experience designing and operating large-scale data systems or cloud-native platforms
- Ability to lead complex technical projects independently with minimal direction
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
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Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
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Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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