Project Role : Custom Software Engineer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Salesforce Data
Good to have skills : NA
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
AI Powered Tech Talent. 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 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.

Roles & 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, 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.

Professional & Technical Skills:
Must Have Skills
Hands-on experience with Salesforce Data Cloud (Data 360) configuration and development. Solid understanding of:
Data Streams & DMOs
Identity Resolution & Match Rules
Data Transforms
Calculated Insights (SQL)
Segmentation & 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

Additional Information:
3 5 years of Salesforce experience.
1 year experience in Data 360 implementation projects is preferred.
Experience working in Agile teams.
15 years of full-time education is required.