Salesforce Data Cloud Architect

Salesforce Data Cloud Architect

AtlantaGA(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/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

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:
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 CERTIFICATIONS
Salesforce Certified Data Cloud Consultant (must-have)
Salesforce Application/System Architect (must have one of the two)

Required Skills:

Salesforce Data CloudAgentforceAI/ML Integrations