Data Cloud & Multi-Cloud Architecture
Unified customer data across every Salesforce cloud
Book a Discovery CallThe Problem
Your Sales Cloud, Service Cloud, and Marketing Cloud each contain a different version of the same customer. None of them are complete. None of them talk to each other in real time. Data Cloud can fix this, but only if someone architects the data ingestion, identity resolution, and activation layers correctly.
You can't run intelligent agents on dirty, siloed data. Data Cloud is the prerequisite for everything Salesforce is building next: Agentforce, Marketing personalization, real-time analytics. The question isn't whether to implement it. It's whether your architecture will survive what comes after.
Companies preparing for Agentforce adoption need the data foundation built first. Without identity resolution and unified data streams, agents can't reason over data they can't reach.
What I Deliver
- Data Cloud ingestion stream design from Salesforce clouds, external databases, and third-party platforms
- Identity resolution ruleset architecture for true 360-degree customer view
- Data model and Data Graph design
- Multi-cloud integration orchestration (Sales + Service + Marketing + Commerce + Data Cloud)
- Segmentation and activation strategy for marketing and service use cases
- Data governance and quality framework that scales across business units
- Real-time activation and analytics configuration
Who This Is For
- Enterprises running 3+ Salesforce clouds with fragmented customer data
- Marketing teams that can't segment or activate because data isn't unified
- Companies preparing for Agentforce who need the data foundation first
“His insights are always spot-on and incredibly valuable. He is a tremendous asset to any team.”
How I Work
Discovery
We scope the challenge. I ask hard questions about your architecture, team, and timeline. You'll know in 30 minutes whether I'm the right architect.
Architecture
Architecture-first. I map the system before touching configuration. Deliverables are scoped, timelines are clear, and nothing starts without a plan.
Delivery
Execution with documentation that lets your team maintain what I build. No handoff gaps, no knowledge silos.
Typically 6-16 weeks
Frequently Asked Questions
What is Salesforce Data Cloud used for?
Data Cloud unifies customer data from every Salesforce cloud and external sources into a single profile. It powers identity resolution, real-time segmentation, and activation, giving AI agents, marketing automation, and service teams a complete view of every customer.
How is Data Cloud different from MuleSoft?
MuleSoft moves data between systems through APIs and integration flows. Data Cloud unifies identity and activates segments natively inside Salesforce. They solve different problems: MuleSoft for system integration, Data Cloud for customer data unification and activation.
How long does a Data Cloud implementation take?
A focused identity resolution and segment activation takes 6–10 weeks. Larger multi-cloud unification projects spanning Sales, Service, Marketing, and Commerce typically run 10–16 weeks depending on data source complexity.
Ready to unify your customer data?
30-minute discovery call. No pitch, just an honest assessment of where you stand.
Book a Discovery CallNot ready to talk? Take the Assessment →