Salesforce Data360 Engineer

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.

Skills

SQL, Salesforce Administration, Salesforce Service Cloud