About the role
Responsibilities:
- Configure and maintain Data Streams from Salesforce (Sales Cloud, Service Cloud, Marketing Cloud) and external systems.
- Build and maintain Data Model Objects (DMOs), configure Identity Resolution rules, develop Data Transforms, and write and optimize SQL for Calculated Insights.
- Create and test segments for downstream activation.
- Debug issues related to missing data, incorrect unification, or data mismatches.
- Support UAT, deployment, and post-go-live production issues.
- Work with architects and analysts to implement technical designs.
- Participate in code reviews, testing, and release cycles.
- Support defect resolution and optimization activities.
- Document Data 360 configurations and technical flows.
Requirements:
- Hands-on experience with Salesforce Data Cloud (Data 360) configuration and development.
- Solid understanding of data streams and DMOs, identity resolution and match rules, data transforms, calculated insights (SQL), and segmentation and activation.
- Ability to develop maintainable and scalable solutions.
- Strong problem-solving and communication skills.
- Strong SQL skills (joins, aggregations, window functions preferred).
- Experience working with JSON, APIs, and data integration pipelines.
- Understanding of event-based data and customer engagement tracking.
- Basic understanding of Salesforce metadata, objects, and permissions.
Good-to-have skills:
- Sales Cloud / Service Cloud knowledge.
- Exposure to zero-copy, document AI, or semantic layer is a plus.
- Knowledge of Salesforce Agentforce integrated with Data Cloud (Data 360) to enable real-time, data-driven AI agent experiences.
Certifications Required:
- Salesforce Data Cloud Consultant Mandatory.
- Salesforce Administrator Mandatory.
- Agentforce Specialist Preferred.
- Salesforce AI Associate Preferred.