About The Position

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. Let’s build the future of secure data collaboration together! The Data Clean Rooms Applications team builds services and applications that empower secure multi-party collaboration on sensitive data while strictly preserving its privacy. Customers can seamlessly combine and analyze data from different parties using an agentic interface, our easy-to-use UI, or programmatically via developer APIs. With these APIs, a technical audience can build custom applications, customize complex analysis templates, train advanced AI/ML models, and leverage proprietary models, all while maintaining absolute privacy guarantees. 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.

Requirements

  • 8+ 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.

Responsibilities

  • 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.
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