Key Responsibilities
- Design and implement Salesforce Data Cloud solutions, data models, and data streams.
- Configure Data Lake Objects (DLOs), Data Model Objects (DMOs), Identity Resolution, Calculated Insights, and Segmentation.
- Develop data ingestion and integration pipelines using Salesforce APIs, MuleSoft, ETL tools, and SQL.
- Collaborate with stakeholders to translate business requirements into scalable technical solutions.
- Troubleshoot data quality, integration, and performance issues.
- Work closely with Salesforce developers, architects, and business teams.
Required Skills
- 4–6 years of Salesforce experience with hands-on Salesforce Data Cloud expertise.
- Strong knowledge of Data Cloud architecture, data modeling, identity resolution, and segmentation.
- Proficiency in SQL, data transformation, REST/SOAP APIs, and MuleSoft or other integration tools.
- Familiarity with Sales Cloud, Marketing Cloud, Service Cloud, and data privacy and compliance standards.
- Salesforce Data Cloud certification required.
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Mid-Level