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Weekend Salesforce Data Cloud Jobs (NOW HIRING)

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Weekend Salesforce Data Cloud information

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$40.5K

$98.9K

$155K

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

As of Jul 24, 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 July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $98,862 per year, or $47.5 per hour.
Salesforce Data Cloud Architect

Salesforce Data Cloud Architect

Skechers

Manhattan Beach, CA

$150K - $200K/yr

Full-time

Posted 22 days ago


Skechers rating

6.5

Company rating: 6.5 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

37th of 58 rated fashion and textile manufacturers


Job description

The pay range for this role is $150,000 - $200,000/yr USD.

WHO WE ARE:

Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.

ABOUT THE ROLE:

Skechers Digital Team is seeking a Salesforce Data Cloud Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels. 

The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices). 

You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems. 

WHAT YOU’LL DO:

  •  Responsible for the full technical life cycle of consumer platform capabilities which includes:
    • Capability roadmap and technical architecture in alignment to consumer experience 
    • Technical planning, design, and execution 
    • Operations, analytics/reporting, and adoption 
  • Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles. 
  • Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms. 
  • Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability. 
  • Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies. 
  • Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems. 
  • Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred). 
  • Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations. 
  • Provide architectural oversight ensuring performance, scalability, resilience, and maintainability. 
  • Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.

REQUIREMENTS:

  • Computer Science, Data Engineering, or related degree or equivalent experience. 
  • 10+ years experience architecting enterprise data platforms in cloud environments. 
  • 8+ years experience with data engineering with a focus on consumer data. 
  • 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
  • Strong experience with Data 360 and identity resolution architectures. 
  • Proven expertise in SQL performance tuning and large-scale data modeling. 
  • Hands-on experience implementing ML pipelines and recommender systems in production environments. 
  • Experience with cloud technologies (AWS, GCP, or Azure). 
  • Experience with integration patterns (API, ETL, event streaming). 
  • Experience providing technical leadership and guidance across multiple projects and development teams.
  • Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
  • Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
  • Salesforce Certifications preferred (Platform App Builder, Platform Developer 1, JavaScript Developer 1). 
  • Experience with Databricks or similar distributed data/ML platforms preferred.

.

About Skechers

Skechers, a global Fortune 500® company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.


Equal Employment Opportunity
Skechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation, or any other protected characteristic established by local, state or federal law.


Reasonable Accommodation
Applicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing benefits@skechers.com.
To perform this job successfully, an individual must be able to perform each job responsibility satisfactorily.  The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities, who are otherwise qualified for the job position, to perform the essential functions.
 


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