Salesforce Data Cloud Architect

 Salesforce Data Cloud Architect 
100% Remote (Atlanta, GA) 
Long Term 
Exp: min 12+

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/GCP/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

- Domain Experience 
* Healthcare domain experience (Huge plus)
* US client-facing experience and onsite–offshore coordination (Mandatory)

- 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, GCP, 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: 
- Proven track record in designing and implementing data architectures within the Salesforce ecosystem.
- In-depth knowledge of Salesforce Data Cloud (Customer 360) and related technologies (MuleSoft, Marketing Cloud, Tableau, etc.).
- Strong understanding of Salesforce architecture, including integration patterns, data modeling, and API frameworks.
- Hands-on experience with Salesforce data tools like Salesforce Data Loader, Einstein Analytics, and other data management platforms.
Data Management: 
- Expertise in data governance, data security, and regulatory compliance.
- Strong experience with data integration, ETL (Extract, Transform, Load) processes, and middleware platforms like MuleSoft.

SALESFORCE SKILLSET & KNOWLEDGE: 
- Very good experience in having architected and implemented Salesforce solutions, from a Development perspective. Hand-holding Programming team in ensuring Apex/Visualforce/Lightning based solutions are implemented correctly and efficiently.
- Must have Data Cloud Skills and Knowledge
- Data Cloud Strategy & Architecture: Design the overall data architecture strategy for Salesforce Data Cloud, ensuring alignment with business objectives and Salesforce best practices.
- Data Integration: Architect and implement integ