Salesforce CRM Developer & Salesforce Data Cloud Engineer

J
JobgetherIT Services
100% remote work from the LATAM region, including Brazil., Central Time (CT) business hoursFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
4+ years of hands-on Salesforce CRM development experience; 2 years of direct implementation experience with Salesforce Data Cloud.
Required Skills
SQLAgileSalesforceRESTful APIs

Requirements

  • 4+ years of hands-on Salesforce CRM development experience, particularly with Sales or Service Cloud.
  • Advanced expertise in Apex, SOQL, LWC, and asynchronous Apex methods.
  • 2+ years of direct implementation experience with Salesforce Data Cloud for Data Cloud Engineer path.
  • Deep knowledge of identity resolution, unified profile schemas, data harmonization, and segmentation.
  • Strong SQL, relational data modeling, and data transformation skills.
  • Familiarity with Salesforce security models, including Role Hierarchy, Profiles, and Permission Sets.
  • Experience with AI-enabled Salesforce capabilities like Agentforce or Einstein.
  • Professional English proficiency for documentation and meetings.
  • Ability to work effectively in Agile environments with distributed teams.
  • Salesforce Platform Developer I or II certification is a plus.
  • Salesforce Data Cloud Consultant certification is advantageous.

Responsibilities

  • Design, develop, test, and deploy customized Salesforce CRM solutions using Apex, LWC, and Salesforce Flows.
  • Build Apex triggers, batch processes, and asynchronous logic while adhering to platform limits.
  • Implement AI-assisted workflows using Agentforce and Salesforce Einstein.
  • Integrate Salesforce with external systems using REST APIs and event-driven architectures.
  • Implement and configure Salesforce Data Cloud for enterprise data activation and identity resolution.
  • Design unified profile schemas and perform data harmonization for high-volume datasets.
  • Utilize SQL for data transformation and querying within the Data Cloud ecosystem.
  • Collaborate with stakeholders to translate business requirements into scalable technical solutions.
  • Troubleshoot production issues, participate in code reviews, and maintain technical documentation.
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