Salesforce Data Cloud Architect

Salesforce Data Cloud Architect

Atlanta,GA(3 Days Onsite)

Rate:$70/Hr On C2C

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

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.





PREFERRED SALESFORCE.COM CERTIFICATIONS

Salesforce Certified Data Cloud Consultant (must-have)

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