Salesforce Data Cloud Architect (REMOTE Role)

Hi,

Role: Salesforce Data Cloud Architect

Duration: 6-12+ Months Contract

Location: Atlanta, GA - 3D Onsite

Must Have Skills

• 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

Must Have Certifications

• Salesforce Certified Data Cloud Consultant (Mandatory)
• Salesforce Application Architect or Salesforce System Architect (At least one mandatory)

OVERALL EXPERIENCE

• 8 10+ 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.

• Experience in working with client in USA is a Must, and in coordinating between Onsite-Offshore daily
• Healthcare domain experience is a huge plus.

PREFERRED SALESFORCE.COM CERTIFICATIONS

• Salesforce Certified Data Cloud Consultant (must-have)

Salesforce Application/System Architect (must have one of the two)