Position requires: Salesforce Data Cloud, including data streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), identity resolution, and Calculated Insights; Salesforce Marketing Cloud and omnichannel customer data platform concepts; ETL/ELT, data integration, and CRM data pipeline design; SQL, data modeling, and SQL databases; Python and Java for coding snippets, data validation, integration, and orchestration support; AWS, cloud platforms, and DevOps or CI/CD practices; Data architecture, analytics, data quality, and performance monitoring; Data governance, privacy, and compliance best practices, including GDPR and CCPA; Testing strategies, validation, troubleshooting, and support for UAT in complex data environments. Design, implement, and maintain Salesforce Data Cloud solutions, including data streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), Calculated Insights, Data Transforms, identity resolution rules, and audience segmentation logic to support accurate, scalable, and reliable customer data processing.