About the role
As a Salesforce Data 360 Developer, you will configure, build, and support customer data solutions on Salesforce Data Cloud (Data 360). You will contribute as a senior developer, working on data ingestion, data modeling, identity resolution, data transformations, calculated insights, and segmentation, working closely with architects and business teams to deliver implementations aligned with business requirements.
Responsibilities:
- Develop custom software solutions to design, code, and enhance components across systems or applications.
- Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
- Configure and maintain data streams from Salesforce (Sales Cloud, Service Cloud, and 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, and 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.
Additional Information:
- 3.5 years of Salesforce experience.
- 1 year of experience in Data 360 implementation projects is preferred.
- Experience working in Agile teams.
- 15 years of full-time education is required.