Data Cloud Job Roles
- Kaelan Moss
- Mar 14
- 7 min read
Salesforce Data cloud grew by 120% since 2025
The top 10 biggest Salesforce deals in 2025 were Data Cloud related.
Data cloud and Agentforce are Salesforce’s top priorities.
Don't believe me? Then look at Salesforce's investor information.
Follow the money and you’ll see what Salesforce cares the most about.
Here's Salesforce's Q1 Earnings Release report to show you what they're saying about Data Cloud.
Data Cloud is booming
What does Data Cloud mean for you?
Salesforce’s focus on Data Cloud means that more companies will be hiring people who know Data Cloud.
There’s demand for data cloud experts and it’s growing.
That demand is coming from companies buying Data Cloud and Salesforce Partners who need people to implement Data Cloud for their clients.
It’s time to prepare yourself for the Data Cloud jobs that will be available.
In this article we’ll talk about three common Data Cloud jobs that companies will need to hire people for.
When I present the job roles, I'll also tell you about the skills and responsibilities you'll need.
Let’s get to it.
Data Cloud Job Roles, Skills, Certs, Responsibilities
Data Cloud Administrator
Data Cloud Admin - {Main Job Role}
The Main Job role of a Data Cloud Administrator is to build the Data Cloud platform and make sure data cloud works the way the business expects it to.
Data Cloud admins need to have foundational data cloud knowledge to build on the data cloud platform.
Which means you need to have the Data Cloud Consultant cert.
Data Cloud Admin - {Responsibilities}
Help set up data cloud and prepare it for launch
Set up basic connections, users, and permissions
Do the initial, low maintenance configurations
Connect data sources
Map data sources to the harmonized data model
Configure identity resolution settings
Automate processes using flow
Give the right permissions to users
Provide reporting
Expose data with lightning web components
Share the platform changes with Data Cloud users
Data modeling
Creating calculated insights using visual builder
Setting up data actions with connected systems
Building primary segments
Activating segments to connected platforms
Setting up users and permissions
Troubleshooting issues when they come up
Building reports and dashboards
Building flows and automations
Validating unification
Verifying counts and totals
Data Cloud Admin - {Skills}
To do your Data Cloud Admin job well, you need this set of skills.
Be able to build and use flows
Configure custom reports and dashboards
Configure and manage cloud storage locations
Be able to configure user roles and object permissions
Troubleshoot and configure access permissions to different buckets (or repositories)
It's a major bonus if you have hands on experience with the Salesforce clouds below.
You also need working knowledge of SQL, Calcultated insights, DBeaver, and Query Workspace.
Of course Data Cloud is pretty new to most companies, so not everyone will have every skill.
Write down the skills that you do have and make a list of those.
That way you can see what you already know vs. what you need to learn.
Data Cloud Admin - {Certifications}
Of course, certifications aren't the end all be all in every job, especially if you have hands on experience in a certain product already.
But it definitely helps your case if you have these Salesforce certifications when you're looking for a Data Cloud job.
A lot of hiring managers will look for someone who has one of these certifications. It helps if you do have one of these certs (or all of them).
Data Cloud Business Analyst
Data Cloud Business Analyst - {Main Job Role}
The Main Job role of a Data Cloud business analyst is to make sure everything brought to data cloud supports a business use case and is valuable.
You need to translate complex data cloud concepts so you can help clients understand the data lifecycle in data cloud.
You need knowledge of the industry that you're working in if you want to be the best BA possible. You are working with the business hand in hand to bring the vision to life.
The mission as a Data Cloud BA is to let the solution architect focus on the technical parts of the project and build the best solution based on the business use cases.
A Data Cloud Business Analyst also needs to:
Verify test cases, acceptance criteria
uses data cloud to establish data governance and stewardship
Data Cloud Business Analyst - {Responsibilities}
Requirement gathering:
Guide conversations and draw out requirements
Talk to stakeholders and get the business objectives
Be a consensus builder when a decision is in question
Design the use cases based on conversations with stakeholders
Prioritize epics and user stories based on business objectives
Generate user stories
Identify opportunities and risks
Document the following:
Functional specifications
User guides and how to’s
Integration workflows
Data governance
Monitor opportunities and risks
Change management:
release planning
data stewardship
impact assessment
release communication
Data Cloud Business Analyst - {Skills}
To do your Data Cloud Business Analyst job well, you need this set of skills.
Data governance and stewardship experience
Data security and data access policies experience
Industry-specific data experience and training to identify use cases that are feasable, valuable, and ethical
Know how Salesforce CRM works for businesses in your industry.
Data Cloud Business Analyst - {Certifications}
Data Cloud Solution Architect
Data Cloud Solution Architect - {Main Job Role}
A successful Data Cloud solution architect needs to lead the data cloud implementation from a technical point of view with the business analyst.
The solution architect is the technical lead for data cloud.
You have to be able to translate customer use cases into practical tech solutions and do a client readiness assessment to understand the current state of data.
Once you understand the state of data in the company, you design the technical solution from beginning to end.
Throughout the project, you'll need to explain the data lifecycle to clients/stakeholder in easy to understand terms. If you get too technical, you will lose people.
Data Cloud solution architects need to be be detailed, personable, and patient. You have to keep in mind that every data cloud project is a detailed process that requires poise.
As the leader of the project, you'll make sure that admins build the platform based on the agreed upon solution.
You'll also work with QA and business analysts to verify the design is correct.
Anytime something comes up, you're the point person for escalation during the build stage.
You'll plan milestones, integrations, dependencies, and identify budget for each step of the project with the client and business analyst.
You'll be less hands on than a Data Cloud admin, but you'll have a strong technical understanding of Data Cloud capabilities.
Data Cloud Solution Architect - {Responsibilities}
Planning
Readiness assessments
use case refinement
data analysis
user analysis
Architecture design
source mapping
harmonization
unification
aggregation
segmentation
activation
integration
Construction, validation, deployment
team design alignment
verification design
escalation and issue resolution
Roadmapping
milestones
integration planning
dependency mapping
budget forecasting
Data Cloud Solution Architect - {Skills}
To be a successful Data Cloud solution architect, you need to have every skill that a Data Cloud Admin has.
Also, be aware of the entire Salesforce Customer 360 model:
Party models
Privacy models
Engagement models
Sales models
Service models
Loyalty models
Commerce models
Health models
Education models
And hone your skillset in the following areas:
Data Strategy
Data Design
Data Modeling
Data Discovery
Cross platform identity strategy and design
Customer Data Platform
Data lake or warehouse
Master data management (MDM)
Extract, Transform, Load (ETL)
Integration platform as a service (iPAAS)
Be able to facilitate a technical discussion
Stays informed as the Customer 360 Data Model evolves.
Know the basics of parties and consent, and key objects in the industry they’re working with like products, cases, accounts.
Simplify technical concepts so clients can come to a shared (and understood) vision.
Strong facilitation skills for design and discovery project stages.
Capability knowledge across multiple clouds to determine how all other clouds map to Data Cloud.
Understand the purpose and common use cases for CDP’s, data warehouses, data lakes.
Be able to explain where tools overlap.
Teach customers what systems to use and when to use them.
Explain how all the tools come together and the value it gives to a customer.
Knowledge of the broader landscape to understand common needs.
Data Cloud Solution Architect - {Certifications}
Conclusion
Those are three in demand Data Cloud jobs on the market right now.
We’ll talk about more Data Cloud job roles in the future.
But for now, you have a lot that you can learn.
If you're anything like me, this excites you because its the future.
But it can also be overwhelming. So take it one day at a time.
Learn one new thing per day and compound your knowledge.
You don't have to learn everything at once, but you do need to be consistent.
I gave you a lot of resources in this article. Use them to study.
And if you want a community that will keep you accountable, then join the Marketing Cloud Career Development Program and we'll help you get where you want to go.
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That’s all I have for you today.
Star hungry for knowledge my friend.
Kaelan Moss - MinuteAdmin out ✌🏽
PS: When you're ready, heres how I can help you dive deeper into Marketing Cloud.
The Marketing Cloud Career Development Program
This program is designed to help you master Marketing Cloud, overcome your fears at work, land a job, and become the expert in Salesforce Marketing Cloud that you want to be. Come join us.
