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Business Intelligence Developer

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Premier Group
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    Salesforce Developer, Software Architect, Backend Developer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

We’re looking for a Senior Salesforce Developer to lead complex Salesforce initiatives with a heavy focus on Data integration and platform architecture. This role will play a key part in integrating Salesforce with Databricks, enterprise applications, and external data systems to drive real-time insights and scalable automation.

This is a hands‑on engineering role suited for someone who enjoys owning architecture decisions and building robust, secure integrations across modern data ecosystems.

Key Responsibilities
  • Design, develop, and optimize custom Salesforce solutions (Apex, LWC, Flows, APIs)
  • Architect and implement integrations between Salesforce and Databricks
  • Build and maintain REST/SOAP APIs for internal and external application connectivity
  • Work closely with Data Engineering teams to ensure clean data pipelines and synchronization
  • Lead system integration efforts across ERP, marketing automation, and third‑party platforms
  • Optimize performance, scalability, and security of Salesforce architecture
  • Provide technical leadership and mentor junior developers
  • Support CI/CD and Dev Ops best practices for Salesforce deployments
Required Qualifications
  • 5+ years of hands‑on Salesforce development experience
  • Experience integrating Salesforce with Databricks
  • Experience with enterprise application integrations (ERP, data warehouses, external APIs)
  • Strong understanding of data modeling and large dataset handling
  • Experience with version control (Git) and CI/CD pipelines
  • Salesforce Platform Developer I (II preferred)
Preferred Qualifications
  • Experience working in Azure
  • Familiarity with Mule Soft or other middleware platforms
  • Knowledge of data lake architecture
  • Experience in high‑growth or enterprise environments
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