Building Data 360 Clean Rooms: Zero-Copy Architecture for Privacy-Safe Data Collaboration
Summary
Salesforce’s Data 360 Clean Rooms enable secure, privacy-first collaboration by leveraging a zero-copy federation architecture that keeps sensitive data in its original environment while allowing joint data analysis under strict compliance with GDPR and CCPA. The solution isolates datasets and enforces governance controls, such as pre-approved query templates and granular data access revocation, ensuring no raw PII is exposed. By addressing architectural challenges for multi-party scalability and interoperability with platforms like AWS Clean Rooms, the platform allows Salesforce teams to build privacy-safe, compliant data sharing environments without data movement risks.
Takeaways
- Implement zero-copy federation to run queries where data resides without moving raw data.
- Use anonymization, aggregation thresholds, and query templates to enforce privacy and compliance.
- Build a decoupled control plane to support one-to-many provider-consumer collaborations securely.
- Develop integration layers for interoperability with external clean room platforms like AWS.
- Apply granular data access controls and immutable audit logs to maintain governance.
In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Soumya KV, Senior Director of Software Engineering at Salesforce, as she leads the team building Data 360 Clean Rooms to enable secure organization collaboration on data-driven insights while maintaining strict privacy, consent, and governance controls over underlying datasets. Explore how her team built Data 360 Clean Rooms to enable privacy-safe data collaboration under regulatory constraints like GDPR and CCPA, designed a distributed architecture that isolates datasets during analysis, and implemented a zero-copy federation model that executes queries where data resides.