Salesforce Data Cloud Architect

Capgemini•New York, NY
•$101,140 - $182,624

About The Position

We are seeking a Salesforce Data Cloud Architect to join our DCX team and support enterprise level clients. Your Role: 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.

Requirements

  • 5+ Years of experience with Salesforce Data Cloud & Salesforce Marketing Cloud
  • Experience with Data 360 and Marketing Cloud Next
  • IT Consulting Experience

Responsibilities

  • 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.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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