Location: Atlanta, GA, USA Experience Required: 12+ years (including 3+ years hands-on in Salesforce Data Cloud)
Role OverviewUST is seeking a highly skilled Salesforce Data Cloud Architect with deep expertise in Salesforce Data Cloud (Customer 360), enterprise data platforms, and advanced AI/ML integrations. This role will lead the design, implementation, and governance of large-scale data architectures, unified customer platforms, and Agentforce solutions leveraging Data Cloud capabilities.
Overall Experience Requirements8 10+ years in Salesforce and enterprise data platforms.
3+ years hands-on experience in Salesforce Data Cloud (Customer 360).
Deep understanding of:
Data Cloud architecture, objects, Data Lake Objects (DLOs), harmonization, calculated insights, identity resolution.
Data Cloud Query Language (DQL) and advanced segmentation.
Strong knowledge of data architecture, governance, MDM, data warehousing, data lakes.
Hands-on experience building large-scale CDP and unified data platforms .
Experience with cloud-native ecosystems (AWS, Azure, Google Cloud Platform, Snowflake, Databricks).
Expertise in API-based integrations, ETL/ELT pipelines, event-driven architectures.
Proven experience architecting Agentforce solutions with AI/ML integrations, Einstein Studio, and RAG-based retrievers.
Experience with Model Builder and integrating external LLMs with Agentforce.
Strong grounding in real-time personalization, predictive insights, and recommendation engines.
Experience working with US clients and coordinating daily onsite offshore workflows.
Healthcare domain experience is a strong plus.
Proven track record designing & implementing data architectures within Salesforce.
Deep expertise in Salesforce Data Cloud (Customer 360) and related tools:
MuleSoft, Marketing Cloud, Tableau, Einstein Analytics.
Strong understanding of Salesforce integration patterns, data modeling, and API frameworks.
Experience with Salesforce data tools:
Salesforce Data Loader, Einstein Analytics, other data management platforms.
Expertise in data governance, data security, and regulatory compliance (GDPR, CCPA, etc.).
Strong experience with data integration, ETL/ELT processes, middleware (MuleSoft).
Strong experience architecting and implementing Salesforce solutions with hands-on guidance for Apex, Visualforce, and Lightning development teams.
Must-have Data Cloud Skills:
Data Cloud Strategy & Architecture: Defining end-to-end Data Cloud architecture aligned with business goals.
Data Integration: Designing integrations between Salesforce Data Cloud and enterprise systems, ensuring scalability and data consistency.
Data Governance: Establishing rules for accuracy, security, and compliance.
Data Modeling: Designing scalable, maintainable data models for analytics and reporting.
Customer 360 Solutions: Leading implementations focused on a unified customer view and personalization.
Advanced Analytics & AI: Integrating predictive models, AI-driven analytics, and insights using Data Cloud and Einstein.
Ability to collaborate effectively with Enterprise Architecture teams on Salesforce data modeling.
Strong problem-solving skills with the ability to propose multiple solution approaches.
Salesforce Certified Data Cloud Consultant (Must-have)
Salesforce Application Architect or Salesforce System Architect (At least one required)
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