Key Responsibilities: · Design and implement Salesforce Data Cloud solutions and data models. · Configure Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), and Identity Resolution. · Integration & Ingestion: Manage data pipelines using APIs, ETL tools, orMuleSoft to connect external data sources · Develop and manage data ingestion and integration using APIs, MuleSoft, and other ETL tools. · Configure Calculated Insights, Segmentation, and Data Actions. · Work with stakeholders to understand business requirements and translate them into scalable Data Cloud solutions. · Troubleshoot data quality, integration, and performance issues. · Collaborate with Salesforce developers, architects, and business teams. Key Skills: · 4-6 years of Salesforce experience with strong hands-on Salesforce Data Cloud expertise. · Strong knowledge of Data Cloud architecture, data modeling, identity resolution, and segmentation. · Experience with Salesforce APIs, MuleSoft/integration tools, SQL, and data transformation. · Strong proficiency in SQL, data transformation concepts, and REST/SOAP APIs · Deep familiarity with Sales Cloud, Marketing Cloud, Service Cloud, and data privacy/compliance standards · Salesforce Data Cloud certified This is a remote position.