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.