> Markdown version of [/jobs/ext/4636523-salesforce-data-cloud-data-360-architect](https://www.wearedevelopers.com/jobs/ext/4636523-salesforce-data-cloud-data-360-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce Data Cloud (Data 360) Architect - **Company:** AspireIT Solutions - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Cloud Computing, Cloud Engineering, Customer Data Management, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Cloud Services, SuccessFactors, Salesforce.Com, SQL Databases, Data Streaming, HR Software, Integration Frameworks, Marketing Cloud, Workday, User Identification - **Published:** November 8, 2026 - **Apply:** https://www.dice.com/job-detail/b7702e56-f6e1-41b9-b410-8460fb778259 ## About the Role * 10+ years in Salesforce, with 4+ years hands-on in Data Cloud (Data 360) * Strong understanding of CDP concepts, identity resolution, and data modeling * Experience with Data Cloud to Marketing Cloud activation * SQL and data transformation experience * Salesforce Data Cloud Consultant or Architect certification preferred Nice to Have - * Experience integrating Workday or other finance/HR systems (relevant given Xerago's Workday-to-SuccessFactors ask in your notes) * Experience with Agentforce or AI-driven personalization * Client-facing consulting background ## Description We're hiring a Data Cloud Architect to unify customer data across Salesforce and external sources. You'll design the data foundation that powers personalization, segmentation, and AI-driven experiences. Responsibilities - * Design the Data Cloud architecture: data streams, data model objects, and harmonization * Define identity resolution rules and unified customer profile strategy * Build segmentation, calculated insights, and activation to Marketing Cloud and other channels * Own data governance, privacy, and consent management * Lead integration design with ETL tools, APIs, and cloud data platforms * Partner with marketing, analytics, and IT stakeholders