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. This team owns the core data transformation infrastructure that moves, processes, and delivers data at the heart of Snowflake's platform — powering everything from real-time pipelines to the large-scale batch systems our customers depend on every day.
As a Senior Software Engineer, Data Transformation at Snowflake, you will:Design and implement scalable, high-throughput data processing systems that operate reliably at cloud scale
Build and maintain real-time and batch data pipelines, driving both architectural evolution and day-to-day operational excellence
Own features end-to-end — from system design and implementation through testing, deployment, and production observability
Make architectural decisions that shape the future of Snowflake's data transformation layer and contribute to long-term technical roadmaps
Partner cross-functionally with product, infrastructure, and data science teams to define requirements and deliver high-impact capabilities
Write clean, well-tested, production-quality code and hold a high bar for engineering craft across the team
Mentor junior engineers through code reviews, design discussions, and technical guidance
5+ years of software engineering experience with a focus on distributed systems, data infrastructure, or backend platforms (or equivalent experience)
BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent practical experience
Strong foundation in distributed systems principles: consistency, replication, fault tolerance, and data partitioning
Proficiency in Java, Scala, Python, or C++ — with a track record of 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
Hands-on experience with Apache Flink and/or Apache Spark for stream or batch data processing
Experience with Apache Kafka, data lakehouse architectures, or SQL engine internals
Familiarity with AI-augmented engineering practices — using LLMs, GitHub Copilot, or similar tools to accelerate prototyping, improve code quality, and rethink how software gets built
Contributions to open-source data infrastructure 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.
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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Equity Value & Accessibility — Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
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Fair & Transparent Compensation — Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
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Parental & Family Support — Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.
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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