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Contract Salesforce Data Cloud Jobs (NOW HIRING)

Dolphin Solutions Inc

Salesforce Architect

Jersey City, NJ · On-site

$72 - $89.25/hr

Experience with Salesforce Data Cloud is a highly valued plus to support real-time data harmonization and unified profile objectives. Scope of Work & Deliverables Multi-Cloud Solution Architecture:

Compunnel

Senior Salesforce Engineer

New York, NY · On-site

$137K - $167K/yr

The ideal candidate will possess deep expertise in Salesforce CRM and Salesforce Data Cloud, including custom development, integrations, event-driven architectures, and data management, while ...

Argyllinfotech

Salesforce Architect

Berkeley Heights, NJ · On-site

$72 - $89.25/hr

Salesforce Architect - Multi-Cloud | Marketing Cloud | Service Cloud | Data Cloud Location: 50 Connell Drive, NJ (Onsite, Locals) Employment Type: Contract Experience Required: 13+ Years End Client ...

Dentsu, Inc.

Salesforce Data 360 Architect

Chicago, IL · On-site

$113K - $182K/yr

You'll lead the full implementation lifecycle of Salesforce Data Cloud, from data acquisition and ... Merkle Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal ...

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All JobsContract Salesforce Data Cloud Jobs

Contract Salesforce Data Cloud information

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

As of Aug 15, 2026, the average yearly pay for contract 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 are some common challenges faced when working as a contract Salesforce Data Cloud professional, and how can I prepare for them?

As a Contract Salesforce Data Cloud professional, you may encounter challenges such as quickly understanding a client's unique data architecture, integrating Salesforce Data Cloud with existing systems, and ensuring data quality and compliance. Since contract roles often require you to hit the ground running, strong communication and rapid learning skills are essential. Being proactive in clarifying project goals and maintaining clear documentation will help you collaborate effectively with client teams and deliver value quickly.

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

AspectContract Salesforce Data CloudSalesforce Data Analyst
Primary RoleImplementing and managing Salesforce Data Cloud solutions, data integration, and architectureAnalyzing data, generating reports, and providing insights within Salesforce environment
Required SkillsData management, Salesforce Data Cloud platform knowledge, integration skillsData analysis, reporting, Salesforce reporting tools
Work EnvironmentProject-based, client sites or remote, technical focusOffice or remote, analytical and business-focused
CertificationsSalesforce Data Cloud certifications, Salesforce Administrator or Developer certificationsSalesforce Certified Data Analyst, Salesforce Administrator

Contract Salesforce Data Cloud specialists focus on implementing and managing data solutions within Salesforce Data Cloud, often working on technical projects. Salesforce Data Analysts analyze data and generate insights using Salesforce tools. While both roles require Salesforce knowledge, the former is more technical and implementation-oriented, whereas the latter emphasizes data analysis and reporting.

What are the key skills and qualifications needed to thrive as a contract Salesforce Data Cloud professional?

To excel as a Contract Salesforce Data Cloud professional, you need expertise in Salesforce Data Cloud (formerly Customer Data Platform), data integration, and data modeling, typically backed by Salesforce certifications and previous experience with cloud data environments. Familiarity with Salesforce tools like Data Cloud, Data Loader, CRM Analytics, and ETL platforms, as well as relevant certifications such as Salesforce Certified Data Cloud Consultant, is highly valued. Strong analytical thinking, attention to detail, and effective communication enable professionals to deliver client requirements and collaborate with cross-functional teams. These skills are vital to ensure accurate data integration, support business intelligence, and drive successful project outcomes for clients using Salesforce Data Cloud solutions.

What is a contract Salesforce Data Cloud professional?

A Contract Salesforce Data Cloud professional is a specialist hired on a temporary or project basis to implement, manage, or optimize Salesforce Data Cloud solutions for organizations. They help businesses unify, analyze, and activate customer data using Salesforce's suite of data management tools. Their work often includes integrating data from multiple sources, ensuring data quality, and enabling seamless customer experiences through data-driven insights. These professionals may work independently or as part of a consulting firm, providing expertise without the commitment of a full-time hire.
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Infographic showing various Contract Salesforce Data Cloud job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $98,862 per year, or $47.5 per hour.

Salesforce Data Cloud Architect

Skechers

Manhattan Beach, CA • On-site

$150K - $200K/yr

Other

Re-posted 14 days ago

Skechers rating

6.5

Company rating: 6.5 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

40th of 62 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, Google Cloud Platform, 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
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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