Salesforce Data Cloud Architect

Location: Atlanta, GA, USA Experience Required: 12+ years (including 3+ years hands-on in Salesforce Data Cloud)

Role Overview

UST 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 Requirements

• 8 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.

Technical Expertise

• 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.

Data Management Skills

• Expertise in data governance, data security, and regulatory compliance (GDPR, CCPA, etc.).

• Strong experience with data integration, ETL/ELT processes, middleware (MuleSoft).

Salesforce Skillset & Knowledge

• 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.

Preferred Certifications

• Salesforce Certified Data Cloud Consultant (Must-have)

• Salesforce Application Architect or Salesforce System Architect (At least one required)