SFDC Data Architect
3B Staffing LLC, Indianapolis, IN, United States
Responsibilities
Design overall data architecture strategy aligned with business objectives and Salesforce best practices
Architect and implement integrations between Salesforce Data Cloud and enterprise systems
Ensure data consistency and integrity across platforms
Establish data governance practices for accuracy, quality, security, and compliance (GDPR, CCPA, etc.)
Define scalable and maintainable data models within Salesforce Data Cloud
Implement Salesforce Data Cloud for unified customer view and personalized engagement
Integrate AI-driven analytics and predictive models leveraging Data Cloud insights
Engage with Enterprise Architecture teams on Salesforce data modeling strategies
Required Qualifications
8-10+ years in Salesforce / Enterprise Data Platforms
3+ years of hands-on experience in Salesforce Data Cloud
Salesforce Certified Data Cloud Consultant (Must Have)
Salesforce Application Architect or System Architect (At least one required)
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
Preferred Qualifications
Familiarity with cloud-native architectures (AWS, Azure, GCP, Snowflake, Databricks)
Expertise in API-based integrations, ETL/ELT pipelines, and event-driven architectures
Proven experience in architecting Agentforce solutions with AI/ML integrations with Data Cloud
Experience with Einstein Studio and RAG-based retrievers
Experience working with model builder and integrating external LLMs with Agentforce
Required Skills & Technologies
Primary Skills
Salesforce Architect
Salesforce Data Cloud
Service Cloud
Einstein Studio
Design overall data architecture strategy aligned with business objectives and Salesforce best practices
Architect and implement integrations between Salesforce Data Cloud and enterprise systems
Ensure data consistency and integrity across platforms
Establish data governance practices for accuracy, quality, security, and compliance (GDPR, CCPA, etc.)
Define scalable and maintainable data models within Salesforce Data Cloud
Implement Salesforce Data Cloud for unified customer view and personalized engagement
Integrate AI-driven analytics and predictive models leveraging Data Cloud insights
Engage with Enterprise Architecture teams on Salesforce data modeling strategies
Required Qualifications
8-10+ years in Salesforce / Enterprise Data Platforms
3+ years of hands-on experience in Salesforce Data Cloud
Salesforce Certified Data Cloud Consultant (Must Have)
Salesforce Application Architect or System Architect (At least one required)
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
Preferred Qualifications
Familiarity with cloud-native architectures (AWS, Azure, GCP, Snowflake, Databricks)
Expertise in API-based integrations, ETL/ELT pipelines, and event-driven architectures
Proven experience in architecting Agentforce solutions with AI/ML integrations with Data Cloud
Experience with Einstein Studio and RAG-based retrievers
Experience working with model builder and integrating external LLMs with Agentforce
Required Skills & Technologies
Primary Skills
Salesforce Architect
Salesforce Data Cloud
Service Cloud
Einstein Studio