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Niche Salesforce Data Cloud skillset but mid-level (5+ years) and metro location create moderate competition.
Specialized Salesforce Data Cloud and Agentforce expertise is platform-specific and not easily transferable across industries.
Explicit years, mandatory Salesforce domain experience and specific Data Cloud/Agentforce skills make filters strict.
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Lead design, development, and optimization of Salesforce Data Cloud, Agentforce, and AI capabilities for commercial technology solutions.
Build and maintain enterprise-scale data integrations and AI-enabled business processes, including Customer 360 and Contract Intelligence.
Ensure data quality, governance, and platform performance while mentoring developers and collaborating with business and tech stakeholders.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
5+ years of Salesforce platform experience, including 2+ years with Salesforce Data Cloud implementations.
Experience with Data Streams, Data Model Objects, Identity Resolution, Calculated Insights, and AI technologies like Salesforce Agentforce or Einstein AI.
Experience integrating Salesforce with enterprise systems using APIs, middleware, or ETL tools; strong understanding of data modeling and governance.
Deep expertise in Salesforce Data Cloud and AI-driven enterprise solutions with proven ability to deliver scalable, secure, and reusable implementations.
Experience working collaboratively with Enterprise Architecture, Data Engineering, and Business Analysts in Agile environments to enable AI-powered business capabilities.
Proven success improving data quality, customer identity resolution, and accelerating AI use case delivery within Sales, Service, or Commercial Technology domains.