Why This Job is Featured on The SaaS Jobs
Snowflake’s Data Clean Rooms and AI Data Hub work sits at the intersection of two major SaaS platform shifts: privacy preserving data collaboration and AI assisted analytics on shared datasets. Building “safe room” primitives for multi party use cases is a distinctly cloud data platform problem, where governance, isolation, and usability must coexist at scale. For SaaS professionals, this is a front row view into how modern data infrastructure vendors are productising secure collaboration as a platform capability rather than a bespoke service.
The long term career value comes from owning distributed system design that must be reliable under enterprise workloads, while also exposing developer facing APIs that enable partners and customers to build on top. Experience here tends to translate across infrastructure heavy SaaS roles that blend platform engineering with product thinking, particularly where privacy, compliance, and workload performance influence architecture choices. The remit also signals meaningful cross functional execution, from system design through production rollout.
This role fits senior engineers who prefer ambiguous platform problems over narrow feature work, and who enjoy partnering with product to turn constraints into reusable services. It will suit practitioners comfortable mentoring peers and making architectural calls, especially those drawn to cloud data systems, secure computation patterns, and pragmatic integration of AI capabilities into core infrastructure.
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.
Let’s build the future of secure data collaboration together!
The Data Clean Rooms team is Leading the market shift from traditional 2-party data sharing to multi-party collaboration hubs. Our vision is to provide a seamless, "safe-room" environment where enterprises can collaborate on shared datasets while maintaining absolute governance. We ensure that no party can exfiltrate another's underlying content, even while running complex joint workloads and getting high-value results.
You will join a fast-paced, collaborative team of engineers on a journey to provide customers with an integrated set of innovative, AI-enabled capabilities to analyze data in a privacy-preserving way. You will have a real opportunity to impact and shape the future of secure data collaboration at Snowflake.
AS A SENIOR SOFTWARE ENGINEER IN DATA CLEAN ROOMS, YOU WILL:
Architect and build highly scalable infrastructure that enables secure, multi-party collaboration.
Design and implement core clean room features and services, intelligent agents, and robust developer APIs to expand platform capabilities and support custom AI/ML workflows.
Partner closely with Product Management and cross-functional teams to drive complex projects from ideation and system design through to production deployment.
Mentor peers and foster a warm, supportive culture of innovation, cross-team collaboration, and technical excellence.
OUR IDEAL CANDIDATE WILL HAVE MOST OF THE FOLLOWING QUALIFICATIONS:
7+ years of industry experience designing, building, and supporting large-scale distributed systems in production.
Expert-level development skills in Python, Java, or similar languages.
Deep understanding of database systems, cloud data platforms, or distributed storage architectures.
Experience with data privacy, privacy-preserving analytics, and deploying AI/ML solutions (experience building or integrating AI agents is a plus).
Strong computer science fundamentals.
BS/MS in Computer Science or related majors, or equivalent experience.
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
