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Salesforce Data Cloud Architect

MOONITSolutions Inc.United States🇺🇸United StatesPosted 10 Jul 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to architect and implement cutting-edge Salesforce Data Cloud solutions, driving enterprise-scale customer data platforms for a reputable company. You'll thrive here if you possess deep expertise in data architecture and a passion for transforming complex data into actionable insights, with the flexibility to work remotely.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Salesforce Data Cloud Architect
Location: Remote (Preferred: Richmond, VA | Must be willing to travel during the Requirement Gathering phase)
Experience: 15–20 Years (Minimum 5 years of hands-on Salesforce Data Cloud experience)
Employment Type: Contract
Job Summary
We are seeking an experienced Salesforce Data Cloud Architect to lead the architecture, design, and implementation of enterprise-scale Salesforce Data Cloud solutions. The ideal candidate will have extensive experience designing Customer 360 solutions, architecting complex data integration frameworks, and delivering scalable, secure, and high-performing Data Cloud implementations.
The candidate should possess strong architectural expertise and be able to drive end-to-end Data Cloud implementations while collaborating with business and technical stakeholders.
Key Responsibilities
  • Lead the architecture and implementation of enterprise solutions on Salesforce Data Cloud.
  • Design scalable Customer 360 data models, identity resolution strategies, and audience segmentation frameworks.
  • Architect ingestion of structured and unstructured data from CRM, ERP, web, mobile, marketing, and third-party platforms.
  • Define data harmonization, mapping, transformation, governance, and security standards.
  • Design real-time and batch integration architectures using APIs, ETL/ELT tools, middleware, and streaming technologies.
  • Collaborate with business stakeholders to translate business requirements into scalable technical solutions.
  • Design secure, compliant, and enterprise-grade architectures aligned with organizational standards.
  • Enable activation use cases across Salesforce CRM, Marketing Cloud, Service Cloud, Commerce Cloud, Agentforce, Analytics, and external platforms.
  • Provide architectural leadership for AI/ML, personalization, predictive analytics, and Customer 360 initiatives.
  • Guide development teams on Salesforce best practices, DevOps, CI/CD, and reusable architecture patterns.
  • Conduct architecture reviews, solution optimization, performance tuning, and technical governance.
  • Support solution estimation, technical proposals, RFP responses, and roadmap planning.
  • Mentor developers, consultants, and administrators on Salesforce Data Cloud capabilities and best practices.
Required Skills & Experience
  • 15–20 years of overall experience in Data Engineering, Data Architecture, or Enterprise Data Solutions.
  • Minimum 5 years of hands-on Salesforce Data Cloud experience.
  • Strong expertise in Customer 360 architecture and enterprise data strategy.
  • Experience designing scalable data models, identity resolution, segmentation, and activation frameworks.
  • Deep understanding of enterprise integration patterns, APIs, ETL/ELT, middleware, streaming technologies, and data governance.
  • Experience working with Salesforce CRM, Marketing Cloud, Service Cloud, Commerce Cloud, and Agentforce integrations.
  • Strong knowledge of security, privacy, consent management, and compliance within Salesforce Data Cloud.
  • Excellent stakeholder management, communication, and solution design skills.

Skills

ETL
Stakeholder Management

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