Salesforce Data Cloud Architect

StaffXpert LLC; United States; On-site; USD 193,000 - 276,000; Full time

Benefits offered by this job

Data Cloud leadership

Job summary

StaffXpert LLC is seeking an experienced Salesforce Data Cloud Architect to lead the architecture, implementation, support, and continuous enhancement of Salesforce Data Cloud (Data 360) as a scalable, secure, and governed customer data platform.

The role requires hands-on experience with Salesforce Data Cloud including data modeling and identity resolution, Databricks integration, and Zero-Copy Query Federation.

Qualifications

• 14+ years of IT experience with strong Salesforce Data Cloud architecture expertise.
• Hands-on experience with Salesforce Data Cloud (Data 360), including data modeling and identity resolution.
• Experience with Databricks integration and Zero-Copy Query Federation.
• Strong understanding of enterprise data governance, security, and consent management.
• Experience integrating Data Cloud with Marketing Cloud Next and Agentforce.
• Strong production troubleshooting, solution design, and technical leadership skills.
• Lead architecture, configuration, support, and enhancement of Salesforce Data Cloud (Data 360).
• Design and manage integrations using Salesforce Data Connectors, Databricks connectors, and Zero-Copy Query Federation.
• Manage Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), data harmonization, and identity resolution to build unified customer profiles.
• Implement data governance, security, access controls, consent management, and production support procedures.
• Collaborate with Marketing Cloud Next, Salesforce, analytics, and business teams to support audience segmentation, activation, personalization, and campaign use cases.
• Troubleshoot production issues involving data ingestion, identity resolution, segmentation, integrations, and downstream activation.
• Support Agentforce use cases by leveraging Data Cloud as a trusted customer data foundation.
• Lead solution design reviews, performance optimization, technical enhancements, and platform roadmap planning.

Skills

Salesforce Data Cloud

Databricks

Zero-Copy Federation

Data governance

Consent management

Marketing Cloud Next

Agentforce

Troubleshooting

Solution design

Technical leadership

Roadmap planning

Tools

Salesforce Data Connectors

Databricks connectors

Job description

Job Title: Salesforce Data Cloud Architect

Duration: Long Term Contract

Job Summary

We are seeking an experienced Salesforce Data Cloud Architect to lead the architecture, implementation, support, and continuous enhancement of Salesforce Data Cloud (Data 360) as a scalable, secure, and governed customer data platform.

Required Skills

• 14+ years of overall IT experience with strong Salesforce Data Cloud architecture expertise.


• Hands-on experience with Salesforce Data Cloud (Data 360), including data modeling and identity resolution.


• Experience with Databricks integration and Zero-Copy Query Federation.


• Strong understanding of enterprise data governance, security, and consent management.


• Experience integrating Data Cloud with Marketing Cloud Next and Agentforce.


• Strong production troubleshooting, solution design, and technical leadership skills.


• Lead architecture, configuration, support, and enhancement of Salesforce Data Cloud (Data 360).


• Design and manage integrations using Salesforce Data Connectors, Databricks connectors, and Zero-Copy Query Federation.


• Manage Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), data harmonization, and identity resolution to build unified customer profiles.


• Implement data governance, security, access controls, consent management, and production support procedures.


• Collaborate with Marketing Cloud Next, Salesforce, analytics, and business teams to support audience segmentation, activation, personalization, and campaign use cases.


• Troubleshoot production issues involving data ingestion, identity resolution, segmentation, integrations, and downstream activation.


• Support Agentforce use cases by leveraging Data Cloud as a trusted customer data foundation.


• Lead solution design reviews, performance optimization, technical enhancements, and platform roadmap planning.