
B2B • Enterprise • SaaS
M&S Consulting is a company that has been delivering technical and digital solutions for complex business problems since 2002. The company specializes in digital strategy and transformation for critical business functions and caters to both commercial and public sector clients. With a team of over 250 consultants, M&S Consulting integrates processes and technology across various industries, providing services in enterprise applications, cloud & infrastructure, emerging technology & AI, data analytics, cybersecurity, and agile project management. They offer a full range of services including advisory, implementation, managed services, and continuous improvement with a strong focus on delivering AI-driven solutions. M&S Consulting is known for executing projects with a service-minded and agile mentality, ensuring work is done right, on time, and within budget.
April 12
🇺🇸 United States – Remote
⏳ Contract/Temporary
🟡 Mid-level
🟠 Senior
☁️ Cloud Engineer
🦅 H1B Visa Sponsor

B2B • Enterprise • SaaS
M&S Consulting is a company that has been delivering technical and digital solutions for complex business problems since 2002. The company specializes in digital strategy and transformation for critical business functions and caters to both commercial and public sector clients. With a team of over 250 consultants, M&S Consulting integrates processes and technology across various industries, providing services in enterprise applications, cloud & infrastructure, emerging technology & AI, data analytics, cybersecurity, and agile project management. They offer a full range of services including advisory, implementation, managed services, and continuous improvement with a strong focus on delivering AI-driven solutions. M&S Consulting is known for executing projects with a service-minded and agile mentality, ensuring work is done right, on time, and within budget.
• M&S Consulting is seeking a Salesforce Data Cloud Developer & Consultant with expertise in Salesforce Data Cloud to help design, develop, and optimize data solutions within the Salesforce ecosystem. • Design and develop Salesforce Data Cloud solutions, including data ingestion, transformation, and activation. • Build and manage data pipelines, ensuring seamless integration between Data Cloud and other Salesforce clouds (Sales, Service, Marketing, and Field Service). • Develop data models, identity resolution strategies, and harmonization techniques to create a unified customer profile. • Implement AI-driven analytics, segmentation, and audience activation within Data Cloud. • Collaborate with cross-functional teams, including data engineers, architects, and business stakeholders, to understand requirements and provide scalable solutions. • Optimize performance and scalability of data ingestion from multiple sources, including APIs, CRM systems, and third-party data providers. • Ensure data governance, security, and compliance with best practices and regulatory standards. • Provide technical consulting and advisory services to clients, helping them maximize the value of their Data Cloud investment. • Lead and support Data Cloud proof-of-concept (PoC) implementations for clients. • Stay updated on the latest Salesforce releases, Data Cloud enhancements, and industry trends to continuously improve solutions.
• 3+ years of experience in Salesforce development and consulting, with a focus on Salesforce Data Cloud (CDP). • Strong expertise in Salesforce architecture, data modeling, and integrations. • Hands-on experience with ETL tools, data transformation, and cloud-based data platforms. • Proficiency in APEX, SOQL, SQL, and data query languages. • Experience with Salesforce Marketing Cloud, Customer 360, MuleSoft, and/or Tableau is a plus. • Familiarity with AWS, Google Cloud, or Azure data services for enterprise data integrations. • Strong knowledge of data governance, privacy, and security best practices. • Excellent problem-solving, communication, and client-facing skills. • Salesforce Data Cloud Consultant Certification (or equivalent experience) is preferred. • Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent work experience).
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