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Mid-level metro role with general Salesforce title plus niche Data Cloud skills yields moderate candidate competition.
Salesforce Data Cloud and Agentforce expertise is highly platform-specific and less transferable across unrelated tech stacks.
Multiple mandatory filters: 5+ Salesforce years, 2+ Data Cloud experience, integrations and AI expertise increase shortlist rigor.
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Design, configure, and optimize Salesforce Data Cloud and Agentforce solutions to support business AI capabilities and customer 360 initiatives.
Build and maintain scalable data integrations involving CRM, ERP, data warehouses, APIs, and middleware to enable AI-powered insights and business processes.
Ensure data quality, governance, security, and platform performance while mentoring other Salesforce developers on Data Cloud and Agentforce technologies.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
5+ years of Salesforce platform experience with 2+ years hands-on Salesforce Data Cloud implementation.
Experience configuring Data Streams, Data Model Objects, Identity Resolution, Calculated Insights, and integrating Salesforce with enterprise applications via APIs or middleware.
Experience with Salesforce Agentforce, AI technologies like Einstein AI, and CRM Analytics.
Deep expertise implementing Salesforce Data Cloud, Agentforce, and enterprise AI solutions in large-scale, complex environments.
Proven track record delivering scalable, secure, and reusable Salesforce-based AI and Customer 360 business solutions in Agile settings.
Strong strategic understanding of data governance, master data management, and integration within commercial technology organizations.