Salesforce Data Cloud Architect

Atlanta, GA, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Modeling
  • Data Governance
  • Data Architecture
  • DQL
  • Data Lake
  • Data Integration
  • Google Cloud Platform
  • Amazon Web Services
  • ELT
  • Salesforce.com

Summary

Responsibilities

  • Design and implement end-to-end Salesforce Data Cloud architecture aligned with business objectives.

  • Lead Customer 360 initiatives to create unified customer profiles and enable real-time personalization.

  • Architect and manage data integration solutions across enterprise systems using APIs, ETL/ELT, and event-driven architectures.

  • Define and implement data models, harmonization, identity resolution, and calculated insights within Data Cloud.

  • Build and optimize segmentation strategies using Data Cloud Query Language (DQL).

  • Architect and integrate Agentforce solutions with AI/ML capabilities including Einstein Studio, Model Builder, and external LLMs.

  • Establish and enforce data governance, data quality, security, and compliance frameworks.

  • Collaborate with enterprise architecture teams to design scalable and maintainable data solutions.

  • Provide technical leadership and guidance to development teams on Salesforce technologies (Apex, Lightning, integrations).

  • Drive advanced analytics, predictive insights, and recommendation engines using Data Cloud.

  • Work closely with US clients and coordinate across onsite-offshore teams.


Required Skills

  • Strong hands-on experience with Salesforce Data Cloud including data modeling, harmonization, identity resolution, DLOs, segmentation, and DQL.

  • Proven expertise in Data Cloud architecture and Customer Data Platform (CDP) implementations at enterprise scale.

  • Experience in designing and integrating Agentforce solutions with AI/ML, including Einstein Studio, RAG-based retrievers, and external LLMs.

  • Deep knowledge of data architecture, data governance, MDM, and data lake/warehouse concepts.

  • Strong experience in API-based integrations, ETL/ELT pipelines, MuleSoft, and event-driven architectures.

  • Familiarity with cloud platforms such as AWS, Azure, Google Cloud Platform, Snowflake, or Databricks.

  • Solid understanding of Salesforce ecosystem including Apex, Visualforce, Lightning, Marketing Cloud, Tableau, and APIs.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91052859
  • Position Id: 8914673
  • Posted 5 hours ago
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