Salesforce D360

Role & responsibilities

Required Skills:

• Strong experience with Salesforce Data 360 / Data Cloud
• Experience in Customer Data Platform (CDP) implementations
• Data Modeling, Data Mapping, and Data Governance
• Identity Resolution & Unified Customer Profile creation
• Data Streams, Data Lake Objects (DLO), and Data Model Objects (DMO)
• Segmentation, Activation, and Audience Management
• Data ingestion from Salesforce and external systems
• SQL proficiency for data analysis and transformations
• Hands-on experience with REST/SOAP APIs and integrations
• Knowledge of Sales Cloud, Service Cloud, Marketing Cloud, and Experience Cloud
• Understanding of Data Privacy, Consent Management, and Compliance
• Experience with Tableau, CRM Analytics, or reporting tools
• Knowledge of Agentforce and AI-powered customer insights is advantageous. Salesforce positions Data 360 as a foundation for Agentforce and AI-driven context.

Must Have:

• Salesforce Data 360 / Data Cloud
• Customer Data Platforms (CDP)
• SQL
• Data Modeling
• Identity Resolution
• Data Integration
• Salesforce Administration
• API Integration

Good to have:

• Marketing Cloud
• Customer Journey Analytics
• Tableau / CRM Analytics
• Snowflake, Databricks, Redshift, or BigQuery integration exposure. Salesforce architecture guidance highlights interoperability with modern data platforms.
• Agentforce
• AI/ML-based customer insights