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Data Cloud & Multi-Cloud Architecture

Unified customer data — across every Salesforce cloud

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The 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
3,000+
retail touchpoints unified for L'Occitane with multi-cloud Data Cloud architecture

How I Work

Step 1

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.

Step 2

Architecture

Architecture-first. I map the system before touching configuration. Deliverables are scoped, timelines are clear, and nothing starts without a plan.

Step 3

Delivery

Execution with documentation that lets your team maintain what I build. No handoff gaps, no knowledge silos.

Typically 6-16 weeks

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Ready to unify your customer data?

30-minute discovery call. No pitch — just an honest assessment of where you stand.

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