Salesforce Data Cloud Engineer
Role details
Job location
Tech stack
Job description
Define Data Cloud architecture, use cases, and roadmap Design data ingestion and harmonization via Data Streams/connectors and ETL Define data model mapping, identity resolution, and survivorship policies Build calculated insights and segments Implement governance for data quality, consent/privacy, and RBAC; ensure auditability Establish monitoring for data freshness, match rates, and activation performance; enforce SLAs Partner with Sales, Service, Marketing, Data, and Security teams to deliver and scale
Requirements
6 8 years of experience in data/CRM platforms; 2+ years with Salesforce Data Cloud Hands-on experience with Data Streams, DLO/DMO mapping, Identity Resolution, Calculated Insights, Segments, and Activation Strong SQL and data modeling skills; experience with ETL/ELT and APIs Integration experience with Salesforce core clouds and analytics (CRM Analytics/Tableau) Proven knowledge of data governance and role-based access Strong stakeholder management and delivery track record Salesforce Data Cloud Engineer with hands-on experience integrating Data Cloud with Agentforce to enable AI-driven, data-grounded agent experiences. Preferred: Salesforce certifications: Data Cloud Consultant, Administrator, Platform App Builder Familiarity with Agentforce use cases and observability/data quality tools