> Markdown version of [/jobs/ext/4175326-salesforce-data-cloud-architect](https://www.wearedevelopers.com/jobs/ext/4175326-salesforce-data-cloud-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 Architect - **Company:** Capgemini - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $101,140.0 - $182,624.0 - **Contract:** Permanent contract - **Skills:** Cloud Computing, Customer Data Management, Data Governance, Performance Tuning, Salesforce.Com, Data Streaming, Data Ingestion, Data Lakes, Cloud Integration, Marketing Cloud, Databricks - **Published:** October 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0aef32a97a2b67ea ## About the Role 5+ Years of experience with Salesforce Data Cloud & Salesforce Marketing Cloud Experience with Data 360 and Marketing Cloud Next ## Description Lead the architecture, support, and continuous enhancement of Salesforce Data Cloud (Data 360), ensuring a scalable, secure, and governed customer data platform. Design, configure, and support Data Cloud integrations, including Salesforce Data Connectors, Databricks connectors, and Zero-Copy Query Federation across enterprise data sources. Manage Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), data harmonization, and identity resolution processes to create unified customer profiles. Define and implement data governance, security, access controls, consent management, and operational support procedures for production environments. Partner with Marketing Cloud Next, Salesforce, analytics, and business teams to enable audience segmentation, activation, personalization, and campaign use cases. Troubleshoot complex production issues related to data ingestion, identity resolution, segmentation, integrations, and downstream activation processes. Collaborate with architects and developers to support Agentforce use cases leveraging Data Cloud as the trusted customer data foundation. Provide technical leadership for future enhancements, solution design reviews, performance optimization, and platform roadmap recommendations.