Why This Job is Featured on The SaaS Jobs
This Senior Software Engineer, Data Transformation role sits squarely in the infrastructure layer that differentiates modern data cloud SaaS platforms. Work on real time and batch transformation systems is foundational to how SaaS products deliver reliable analytics, integrations, and downstream workloads at scale. Snowflake’s positioning as a cloud data platform makes the domain especially relevant to engineers who want to be close to the operational realities of multi tenant, high throughput services.
From a SaaS career perspective, the remit builds durable skills in distributed systems design, production ownership, and observability, all of which translate across data intensive SaaS categories. End to end feature ownership, architectural decision making, and cross functional delivery mirror how senior engineers are expected to operate in mature SaaS environments, where platform choices directly impact customer experience and cost profiles.
This role is best suited to engineers who prefer working on core systems rather than application features, and who enjoy balancing long term architecture with day to day reliability. It will fit professionals comfortable leading ambiguous technical projects, collaborating with product and infrastructure partners, and raising engineering standards through reviews and mentorship in a cloud native setting.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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 Role
We 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
Our ideal Senior Software Engineer, Data Transformation will have:
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
Bonus points for the following:
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
