Title: Salesforce Data Cloud Architect
Job Type: Contractual
Location: Atlanta, GA. (3 Days Onsite)
Skill 1 Salesforce Data Cloud (3+ years hands-on): Data models, harmonization, identity resolution, calculated insights, DLOs, segmentation, DQL
Skill 2 Data Cloud Architecture & Customer 360: CDP, unified data platforms, real-time personalization, predictive insights
Skill 3 Agentforce + AI/ML Integrations: Einstein Studio, Model Builder, RAG retrievers, external LLM integrations
Skill 4 Data Architecture & Governance: MDM, data security, compliance, data modeling, data lake/warehouse concepts
Skill 5 Data Integrations: API-based integrations, ETL/ELT pipelines, MuleSoft, event-driven designs
Skill 6 Cloud-native Platforms: AWS/Azure/Google Cloud Platform/Snowflake/Databricks familiarity and integration patterns
Skill 7 Salesforce Technical Expertise: Apex/Visualforce/Lightning, Salesforce API frameworks, Marketing Cloud, MuleSoft, Tableau
Skill 8 Enterprise Architecture Alignment: Ability to engage EA teams for Salesforce data models and scalable architecture decisions
OVERALL EXPERIENCE
810+ years in Salesforce/enterprise data platforms, with 3+ years hands-on experience in Salesforce Data Cloud.
Deep understanding of Data Cloud architecture, objects, data models, data lake objects, harmonization, calculated insights, and identity resolution.
Expertise in Data Cloud Query Language (DQL) and advanced segmentation strategies.
Strong knowledge of data architecture, data governance, MDM, data lakes and data warehousing concepts.
Hands-on experience designing large-scale CDP and unified data platforms.
Familiarity and experience working with cloud-native architectures (AWS, Azure, Google Cloud Platform, Snowflake, Databricks).
Expertise in API-based integrations, ETL/ELT pipelines, and event-driven architectures.
Must have proven experience in architecting Agentforce solutions with AI/ML integrations with Data Cloud, including Einstein Studio and RAG-based retrievers.
Experience working with model builder and integrating external LLMs with Agentforce
Strong grounding in real-time personalization, predictive insights, and recommendation engines.
Technical Expertise:
o Proven track record in designing and implementing data architectures within the Salesforce ecosystem.
o In-depth knowledge of Salesforce Data Cloud (Customer 360) and related technologies (MuleSoft, Marketing Cloud, Tableau, etc.).
o Strong understanding of Salesforce architecture, including integration patterns, data modeling, and API frameworks.
o Hands-on experience with Salesforce data tools like Salesforce Data Loader, Einstein Analytics, and other data management platforms.
Data Management:
o Expertise in data governance, data security, and regulatory compliance.
o Strong experience with data integration, ETL (Extract, Transform, Load) processes, and middleware platforms like MuleSoft.
PREFERRED SALESFORCE.COM CERTIFICATIONS
Salesforce Certified Data Cloud Consultant (must-have)
Salesforce Application/System Architect (must have one of the two)
Skills:
Salesforce Data Cloud, Agentforce, AI/ML Integrations
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: 10334366
- Position Id: twss20260213R46
- Posted 9 days ago
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