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Weekend Salesforce Data Cloud Jobs (NOW HIRING)

Salesforce Data Cloud Consultant

Dallas, TX ยท On-site

$90K - $140K/yr

Salesforce Data Cloud Consultant Location: Dallas,TX Role: FT We are seeking a skilled Salesforce Data Cloud Consultant with strong experience in Customer Data Platforms, segmentation, activation ...

Salesforce Data Cloud Architect

Austin, TX ยท On-site

$68.50 - $84.75/hr

We're hiring a Salesforce Data Cloud Architect who can design and deliver enterprise-grade Data Cloud solutions and walk into a client conversation and own it: Half deep technical delivery, half ...

Salesforce Data Cloud Architect

Atlanta, GA ยท On-site

$66.25 - $82.25/hr

We're hiring a Salesforce Data Cloud Architect who can design and deliver enterprise-grade Data Cloud solutions and walk into a client conversation and own it: Half deep technical delivery, half ...

Sr. Salesforce Data Cloud Engineer

Washington, DC ยท On-site

$120K - $163K/yr

Senior Salesforce Data Cloud Engineer We are seeking an experienced Senior Salesforce Data Cloud Engineer to lead and enhance customer data initiatives for a dynamic Randstad client in Washington, DC.

Salesforce Data Cloud / Data 360 Expert Job Location: USA - (Remote) Experience Level: 8+ Years Key Responsibilities: * Lead the design and implementation of Salesforce Data Cloud / Data 360 ...

Salesforce Data Cloud Architect

Atlanta, GA ยท Remote

$65.25 - $84/hr

Role: Salesforce Data Cloud Architect Location: Atlanta, GA (Remote) Job Type: Contract Experience Required: Min 10+ years Required: * Client is specifically looking for a top-notch Data Cloud ...

Salesforce marketing Cloud Developer

$56.75 - $75.25/hr

Salesforce Data Cloud & Marketing Consultant Duration: 12 Months Client: Client (Railway Corp) Location: Washington DC (role is remote as long as they can come to Washington DC on need basis and ...

Salesforce Data 360 Architect

Addison, TX ยท On-site

$61.75 - $79.50/hr

Salesforce Data Cloud. Experience: Minimum 10 years Roles & Responsibilities A Salesforce Data Cloud (Data 360) professional designs, implements, and manages unified customer data profiles by ...

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Weekend Salesforce Data Cloud information

See salary details

$40.5K

$98.9K

$155K

How much do weekend salesforce data cloud jobs pay per year?

As of Jul 1, 2026, the average yearly pay for weekend salesforce data cloud in the United States is $98,862.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $119,000.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Salesforce Data Cloud vs Salesforce Data Analyst?

AspectWeekend Salesforce Data CloudSalesforce Data Analyst
Primary RoleManaging and integrating data within Salesforce Data Cloud during weekendsAnalyzing Salesforce data to generate insights and reports during regular hours
Required SkillsSalesforce Data Cloud knowledge, data management, basic scriptingData analysis, Salesforce reporting, SQL, visualization tools
Work EnvironmentPart-time, weekend shifts, cloud platform focusFull-time, office or remote, analytics focus

The Weekend Salesforce Data Cloud role focuses on managing and maintaining Salesforce Data Cloud systems during weekends, often requiring technical skills related to data integration. In contrast, a Salesforce Data Analyst primarily interprets data, creates reports, and provides insights during regular working hours. Both roles involve working with Salesforce data but differ in responsibilities, hours, and skill sets.

What is a Weekend Salesforce Data Cloud professional?

A Weekend Salesforce Data Cloud professional is someone who specializes in managing and analyzing data using Salesforce Data Cloud, often working on a part-time or weekend schedule. Their responsibilities typically include integrating data from various sources, ensuring data quality, and providing actionable insights for businesses. These professionals may work with marketing, sales, and IT teams to optimize customer data usage and support business decisions. Weekend roles are ideal for those looking for flexible work arrangements or supplemental income while leveraging their Salesforce expertise.

What are the main challenges of working as a Salesforce Data Cloud specialist on weekends, and how can I prepare for them?

Weekend Salesforce Data Cloud specialists often handle critical updates, data migrations, and system maintenance during off-peak hours to minimize business disruption. A key challenge is responding to unexpected issues with limited immediate support from other teams, so strong troubleshooting skills and a clear understanding of escalation protocols are essential. You should also be comfortable working independently and documenting changes thoroughly to ensure smooth handoffs to weekday teams. Preparing by reviewing system documentation, setting up efficient communication channels, and staying updated on Salesforce Data Cloud best practices can help you excel in this role.

What are the key skills and qualifications needed to thrive as a Weekend Salesforce Data Cloud professional, and why are they important?

To excel as a Weekend Salesforce Data Cloud professional, you typically need expertise in data management, cloud computing, and a strong understanding of Salesforce Data Cloud platforms, often supported by Salesforce certifications. Familiarity with tools like Salesforce Data Cloud, SQL, data integration APIs, and ETL systems is essential. Strong analytical thinking, problem-solving abilities, and effective communication help professionals stand out in managing complex data needs over weekend shifts. These skills ensure accurate data handling, seamless integrations, and timely support for business operations during critical out-of-office hours.
More about Weekend Salesforce Data Cloud jobs
What cities are hiring for Weekend Salesforce Data Cloud jobs? Cities with the most Weekend Salesforce Data Cloud job openings:
What are the most commonly searched types of Salesforce Data Cloud jobs? The most popular types of Salesforce Data Cloud jobs are:
What states have the most Weekend Salesforce Data Cloud jobs? States with the most job openings for Weekend Salesforce Data Cloud jobs include:
Infographic showing various Weekend Salesforce Data Cloud job openings in the United States as of June 2026, with employment types broken down into 57% Full Time, and 43% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,862 per year, or $47.5 per hour.
Salesforce Data Cloud Consultant

Salesforce Data Cloud Consultant

OSI Digital

Dallas, TX โ€ข On-site

$90K - $140K/yr

Full-time

Posted 10 days ago


Key responsibilities

  • Design and implement Salesforce Data Cloud and Customer Data Platform solutions to unify customer data and enable customer 360 profiles.

  • Develop and execute audience segmentation and activation strategies across marketing, sales, service, and analytics channels.

  • Ensure data governance, privacy, consent, and compliance requirements are met in customer data solutions.


Job description

Job Title: Salesforce Data Cloud Consultant
Location: Dallas,TX
Role: FT
We are seeking a skilled Salesforce Data Cloud Consultant with strong experience in Customer Data Platforms, segmentation, activation, customer analytics, and zero-copy data architecture. The consultant will be responsible for designing and implementing Data Cloud / CDP solutions that unify customer data, enable customer 360 profiles, support advanced segmentation, and activate audiences across marketing, sales, service, and analytics channels.
The ideal candidate should have hands-on experience with CDP implementation, identity resolution, data modeling, SQL-based customer analytics, RFM analysis, Customer Lifetime Value, and zero-copy or zero-ETL integrations with cloud data platforms such as Snowflake, Databricks, BigQuery, or similar technologies.
This role requires strong consulting skills, the ability to work with business and technical stakeholders, and experience translating customer data use cases into scalable and measurable solutions.
Key responsibilities include:
  • Design and implement Salesforce Data Cloud / CDP solutions
  • Build customer 360 profiles and identity resolution logic
  • Develop audience segmentation and activation strategies
  • Implement RFM and CLV-based customer analytics
  • Enable segment activation across marketing, CRM, advertising, and analytics platforms
  • Design zero-copy / zero-ETL data integration patterns
  • Work with cloud data warehouses and data lakes
  • Ensure data governance, privacy, consent, and compliance requirements
  • Create technical documentation, solution designs, and implementation roadmaps
  • Support testing, deployment, training, and post-go-live optimization
Required skills:
  • Strong CDP / Data Cloud implementation experience
  • Expertise in segmentation activation, RFM analysis, and CLV
  • Experience with zero-copy or zero-ETL architecture
  • Strong SQL and data modeling skills
  • Experience with CRM, marketing automation, and analytics platforms
  • Understanding of identity resolution, consent management, and customer data governance
  • Strong communication and consulting skills
Preferred integration experience:
  • Strong experience in Salesforce Marketing Cloud and Salesforce Data Cloud
  • Snowflake, Databricks, BigQuery, Redshift, or similar platforms
  • Adobe Experience Platform, Segment, Tealium, or Treasure Data
  • Tableau, Power BI, Looker, or similar BI tools
  • Predictive analytics, churn modeling, propensity modeling, or personalization use cases

Qualifications:
  • Bachelorโ€™s degree in computer science, Data Analytics, Information Systems, Marketing Technology, or a related field
  • 5+ years of relevant experience in data, martech, CRM, analytics, or consulting
  • 2+ years of hands-on CDP / Data Cloud experience
  • Salesforce Relevant certifications are preferred
Ideal candidate profile:
The ideal candidate is a hands-on Salesforce Data Cloud / CDP consultant who understands both the technical and business aspects of customer data. They should be able to design customer data models, build actionable segments, activate audiences across channels, and help organizations improve personalization, retention, conversion, and customer lifetime value while maintaining strong data governance and scalable architecture
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