Custom Software Engineer

Project Role : Custom Software Engineer

Project Role Description : 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.

Must have skills : Salesforce Data 360

Good to have skills : Salesforce Lightning Web Components

Minimum 5 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

AI Powered Tech Talent . As a Salesforce Data 360 Engineer, you will lead the development and delivery of data solutions on Salesforce Data Cloud (Data 360). You will own the role of primary technical point of contact, ensuring teams deliver well-architected Data 360 solutions that align with business needs and enterprise standards.

The role requires strong hands-on experience in Data Cloud and the ability to guide teams through complex data ingestion, identity resolution, and activation use cases.

Roles & Responsibilities:

Lead end-to-end delivery of Salesforce Data Cloud (Data 360) implementations.

Own solution design reviews and ensure alignment with enterprise data architecture.

Act as the escalation point for complex data, identity, and performance issues.

Ensure best practices for scalability, performance, and data governance.

Review Data Streams, Data Models, Transforms, Calculated Insights, Segments built by the team

Conduct technical reviews, provide feedback, and enforce coding/data standards

Guide teams on data modeling, DMOs, and relationship design.

Drive UAT, go-live readiness, and post-production optimization.

Support defect resolution and optimization activities.

Translate business requirements into actionable technical designs.

Provide effort estimates, delivery plans, and status updates to leadership.

Professional & Technical Skills:

Must Have Skills

Hands-on experience with Salesforce Data Cloud (Data 360) configuration and development. Deep 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.

Advanced SQL skills for analytics and Calculated insights.

Experience with APIs, event data, and cloud data platforms.

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 Einstein, 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.

Understanding of Marketing Cloud (Contact Builder, Automation Studio, Journey Builder) and Marketing cloud personalization

Soft Skills

Proven experience leading technical teams

Strong communication with technical and non-technical stakeholders

Decision-making and problem-solving mindset

Ability to balance hands-on work with team leadership

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 required

Experience working in Agile teams.

15 years of full-time education is required.