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
Skills Required
- 7+ years 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 and privacy-preserving analytics.
- Experience deploying AI/ML solutions; experience building or integrating AI agents (plus).
- Strong computer science fundamentals.
- BS/MS in Computer Science or related field, or equivalent experience.
- Ability to partner with product and cross-functional teams and mentor peers.
- Adhere to company confidentiality and data security standards when handling sensitive data.
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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