Description

Key Responsibilities:

• Design and implement Salesforce Data Cloud solutions and data models and marketing cloud
• 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

Bachelor's degree