Salesforce ArchitectureArchitect (Hardest)data-clouddata-strategywarehouse
Evaluate Salesforce Data Cloud as enterprise unification layer vs warehouse-first
Real World Scenario
CIO debates Snowflake warehouse-first vs Data Cloud Customer 360 for marketing service sales unification.
Expected Answer
• Warehouse-first: analytics ML batch; strong finance reporting
• Data Cloud: real-time activation segmentation Salesforce native actions
• Hybrid: warehouse source of truth batch; Data Cloud operational profile sync
• Avoid duplicate identity resolution logic both platforms
• TCO: Data Cloud credits vs warehouse storage compute
• Use case matrix which workloads which platform
• Exit strategy vendor lock-in explicit decision
Follow-Up Questions & Answers
Click to expand — each follow-up includes a direct, interview-ready answer
Direct answer: Warehouse-first: analytics ML batch; strong finance reporting Also consider: Data Cloud: real-time activation segmentation Salesforce native actions In practice: Hybrid: warehouse source of truth batch; Data Cloud operational profile sync Document the decision in an ADR and align with enterprise standards.
Architect Perspective
Data Cloud vs warehouse is not either-or—architect workload placement matrix honestly.