Salesforce Data Cloud SME –

Experience: 4–6 Years

Role Overview

We are looking for a Salesforce Data Cloud SME with solid experience in Salesforce Data Cloud, data integration, data modeling, and customer data management.

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. - 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. - Good understanding of Salesforce CRM and Customer 360. - Salesforce Data Cloud certification is preferred. - Strong analytical, communication, and problem-solving skills.

📌 Salesforce Data Cloud SME (Jaipur)
🏢 Habilelabs
📍 Jaipur