Description

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

Key Skills

Education

Any Graduate