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)
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