Job Title: Salesforce Data 360 Engineer

Location: PAN India

Experience: 5+ Years

Education: 15 Years of Full-Time Education

Job Summary

As a Salesforce Data 360 Engineer, you will lead the development and delivery of data solutions on Salesforce Data Cloud (Data 360). You will act as the primary technical point of contact, ensuring teams deliver well-architected Data 360 solutions aligned with business needs and enterprise standards.

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

Key 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, and 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.

Must Have Skills

- Hands-on experience with Salesforce Data Cloud (Data 360) configuration and development.
- Deep understanding of Data Streams & DMOs.




- Experience with Identity Resolution & Match Rules.
- Experience with Data Transforms.
- Experience with Calculated Insights (SQL).
- Experience with 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

- Salesforce Lightning Web Components (LWC).
- Sales Cloud / Service Cloud knowledge.
- Exposure to Einstein, Zero Copy, Document AI, or Semantic Layer.
- 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

Mandatory:

- Salesforce Data Cloud Consultant
- Salesforce Administrator

Preferred:

- Agentforce Specialist
- Salesforce AI Associate

Additional Information

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

📌 Salesforce Data 360 Engineer (Hyderabad)
🏢 Lecan Solutions
📍 Hyderabad