Description

You will build and manage data platform solutions within Salesforce Data Cloud, owning end-to-end integrations and custom automation.

This role is on-site.

Responsibilities

• Implement and configure Salesforce Data Cloud features, including Data Spaces, permissions, and Data Streams for Customer 360.
• Build end-to-end integrations between Azure Databricks and Salesforce Data Cloud, covering zero-copy federation and activation pipelines.
• Develop custom automation and logic using Apex, alongside process automation with Lightning Flow.
• Create scalable, reusable UI components using Lightning Web Components (LWC) and JavaScript.
• Configure Identity Resolution, optimize data ingestion workflows, and deploy Data Lake Objects.

Required Skills

• 6–8 years of experience in data integration, data platform engineering, or enterprise CRM data architecture.
• At least one full-cycle enterprise Salesforce Data Cloud (Data 360) implementation with hands-on configuration.
• Proven experience integrating Azure Databricks and Salesforce Data Cloud (data streams, zero-copy federation, identity resolution).
• Proficiency in Apex and Lightning Flow for custom automation.
• Experience developing LWC and JavaScript components.
• Familiarity with Salesforce Data Cloud architecture, data ingestion workflows, and Data Lake Objects.

Key Skills

Education

Any Graduate