Apply Now
Location: Chicago, Illinois (IL)
Contract Type: C2C
Posted: 10 hours ago
Closed Date: 02/20/2026
Skills: Azure Databricks , Salesforce CRM
Visa Type: Any Visa

Title: Salesforce Data Cloud Developer

Location: Chicago, IL (Local Candidate Only)

 

Job Summary:

We are seeking an experienced Salesforce Data Cloud Developer with strong expertise in data integration, enterprise CRM data architecture, and Salesforce development. The ideal candidate must have hands-on implementation experience with Salesforce Data Cloud (Data 360) in a production environment and proven expertise integrating Azure Databricks with Salesforce Data Cloud.

This is a hands-on delivery role requiring configuration, development, and end-to-end implementation experience — not just advisory expertise.

 

Key Responsibilities:

  • Lead end-to-end implementation of Salesforce Data Cloud (Data 360) in enterprise environments.
  • Design and deliver integration between Azure Databricks and Salesforce Data Cloud.
  • Configure and manage Databricks connectors within Salesforce Data Cloud.
  • Create and deploy Data Streams for data ingestion.
  • Implement Zero-Copy Federation use cases.
  • Configure and tune Identity Resolution.
  • Activate and push curated data to Salesforce CRM orgs.
  • Enable and configure Data Cloud features including:
  • Data Cloud Setup
  • Data Spaces
  • Roles and Permission Sets
  • Manage Data Lake Objects (DLOs) and map them to the Customer 360 data model.
  • Design scalable data architecture and ensure data governance standards.
  • Collaborate with cross-functional teams including architects, data engineers, and business stakeholders.

 

Required Technical Skills:

  • At least one enterprise-level production implementation
  • Hands-on configuration and deployment
  • Data Streams creation and deployment
  • Identity Resolution configuration and optimization
  • Activation to Salesforce CRM
  • Zero-Copy Federation implementation
  • Data Lake Objects (DLOs) management
  • Customer 360 data model mapping
  • End-to-end integration between Azure Databricks and Salesforce Data Cloud
  • Databricks connector configuration (Batch & Zero Copy options)
  • Data ingestion and federation strategies
  • Lightning Flow (process automation & workflows)
  • Apex (custom logic, triggers, integrations)
  • JavaScript
  • Lightning Web Components (LWC)
  • Salesforce CRM development best practices