Data Cloud is expanding across Salesforce teams, and leaders now need people who can unify, govern, and activate first-party data with clear business impact.
Data Cloud gives companies a way to bring customer information together from many systems. It keeps data in sync, reduces manual work, and supports real-time engagement. These gains help sales, service, and marketing teams work from the same picture of each customer.
The shift has moved hiring priorities toward data-centric roles. Teams want people who understand identity matching, data privacy, and the steps needed to turn unified information into action. They want professionals who can support cleaner reporting, stronger customer journeys, and reliable inputs for AI.
Here are a few of the roles growing fastest as Data Cloud becomes part of core CRM delivery.
Data Cloud Consultant
Data Cloud Consultants design and configure the data foundations that support customer profiles. They map sources, define relationships, and guide identity resolution. Their work gives businesses a way to see each customer as one record instead of many separate entries.
Strong consultants know how to structure data so that sales, service, and marketing teams can trust it. They also understand privacy controls and the rules that apply to sensitive information.
The technology is powerful, but success still depends on people. Mason Frank connects you with experienced Salesforce professionals who can build and maintain Data Cloud environments with accuracy and control.
Data Integration Engineer
Integration Engineers keep data moving. They connect Salesforce with data lakes, analytics tools, and operational systems. They set up API patterns that support steady, low-copy movement of records into Data Cloud.
These engineers help teams:
- Maintain real-time sync between internal and external systems
- Pull clean data into Salesforce for sales, service, and marketing
- Support high-volume activity during campaigns and key service periods
Data Cloud depends on these skills. Unified profiles break down when data flows are incomplete or out of date. Integration Engineers protect the quality of the entire platform.
Data Governance Lead
Governance Leads create the rules that protect data. They manage permissions, privacy settings, consent rules, and audit trails. These controls matter because Data Cloud brings information together from many sources. That increase in visibility requires clear lines of accountability.
Governance Leads work with legal teams and security teams to apply regional requirements. They help companies reduce risk and keep customer information protected. Their work also supports safer AI use, since AI models depend on accurate and lawful data.
Activation Specialist
Activation Specialists help teams use Data Cloud in daily work. They take unified profiles and turn them into practical actions. They design segments, journeys, alerts, and process triggers that support sales and service priorities.
Their role sits between data and operations. They show frontline teams how to use new signals and how to respond to customer needs with faster timing and more relevant engagement.
According to the Mason Frank Careers and Hiring Guide 2025, more than half of Salesforce professionals plan to improve their data and analytics skills this year. That shift reflects the growing value of activation skills inside CRM teams.
Mason Frank helps employers find Salesforce professionals who understand both the data layer and the operational impact.
AI and Data Analyst
AI and Data Analysts help organizations read and apply Data Cloud outputs. They prepare data for AI use, support prompt work for Copilot, and review model performance. They keep AI aligned with business goals.
Their responsibilities often include:
- Reviewing data quality
- Preparing datasets for predictive tools
- Measuring the impact of recommendations
- Helping teams understand where AI adds value
These skills matter because Data Cloud improves the quality of the information that flows into AI tools. Analysts help companies understand those signals and apply them in a controlled way.
Building teams that support Data Cloud growth
Data Cloud requires teams that understand both data design and frontline operations. A strong structure often includes:
- Data modelers who build identity rules
- Integration engineers who maintain steady data flow
- Governance leads who manage permissions
- Activation specialists who support sales and marketing
- Analysts who measure performance and support AI
These roles work together to deliver accurate profiles, better timing, and more reliable decisions. They help businesses use customer information without increasing risk or complexity.
