Vrinda International

Salesforce Data 360 Engineer

Vrinda International Bengaluru, Karnataka, India · ₹2M/yr

Human Resources Services · 11-50 employees

13 h ago
Senior (5-10 yrs) Full-time India
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About the role

The engineer will manage end-to-end Data 360 delivery, including data ingestion, modeling, identity resolution, and activation. They will also design scalable solutions and collaborate with cross-functional stakeholders to ensure performance and governance standards.

What they look for

Salesforce Data Cloud Data 360 Data Streams DMOs Identity Resolution Data Transforms Calculated Insights Segmentation Activation SQL JSON APIs Integration Pipelines Salesforce Metadata Agentforce Einstein AI

Requirements

Candidates must have 4-6 years of experience with hands-on expertise in Salesforce Data Cloud and enterprise implementation. Mandatory certifications include Salesforce Data Cloud Consultant and Salesforce Administrator.

Full description

WE ARE HIRING | Salesforce Data 360 Engineer

Location: Bengaluru

Experience: 4–6 Years

CTC: Up to ₹17 LPA

Data 360 Experience: 1–2+ Years

Level: Associate Manager

Role Overview

We are looking for a Salesforce Data 360 Engineer with hands-on enterprise experience to design, develop and deliver scalable Salesforce Data Cloud solutions.

Key Responsibilities

  • Handle end-to-end Data 360 delivery including data ingestion, modeling, identity resolution, transformations, segmentation and activation.
  • Work on DMOs, Data Streams, Data Transforms and Calculated Insights.
  • Design scalable solutions aligned with performance, security and governance standards.
  • Translate business requirements into technical designs.
  • Collaborate with business, marketing, analytics and IT stakeholders.
  • Support UAT, go-live, defect resolution and post-production optimization.
  • Provide technical guidance and support delivery activities.

Must-Have Skills

  • Strong hands-on Salesforce Data Cloud / Data 360
  • Data Streams, DMOs & Identity Resolution
  • Data Transforms & Calculated Insights
  • Segmentation & Activation
  • Batch, Streaming, APIs & Zero Copy
  • Advanced SQL
  • JSON, APIs, event data & integration pipelines
  • Salesforce metadata, objects & permissions
  • Enterprise implementation experience
  • Strong communication and problem-solving skills

Exposure to Agentforce, Einstein AI, Semantic Layer and Document AI is highly desirable.

Certifications:

Salesforce Data Cloud Consultant & Salesforce Administrator – Mandatory

Agentforce Specialist / Salesforce AI Associate / Platform Data Architect – Preferred