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Metro locations and mid-level seniority increase competition, but niche Data Cloud specialization reduces density.
Salesforce and Data Cloud skills transfer across industries but remain specialized, so medium sensitivity.
Explicit 5+ Salesforce and 2+ Data Cloud requirements plus mandatory platform skills yield high strictness.
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Own design, development, and optimization of Salesforce Data Cloud and AI solutions including Data Streams, DMOs, Agentforce, and Customer 360 implementations.
Build and maintain enterprise data integrations with CRM, ERP, data warehouses, and other platforms leveraging APIs, middleware, and ETL.
Ensure data quality, governance, security, and platform performance while delivering scalable, reusable, and AI-enabled business capabilities.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
Minimum 5 years of Salesforce platform experience with at least 2 years hands-on with Salesforce Data Cloud implementations.
Experience configuring Data Streams, Data Model Objects, Identity Resolution, Calculated Insights, and Salesforce Agentforce.
Experience integrating Salesforce with enterprise applications via APIs, middleware, or ETL tools; strong understanding of data governance and master data concepts.
Demonstrated ability to deliver scalable Salesforce Data Cloud and Agentforce solutions supporting AI-driven business processes.
Experience working in Agile/Scrum teams collaborating with enterprise architecture, data engineering, and business stakeholders.
Holds relevant Salesforce certifications (Data Cloud Accredited Professional, AI Associate, Platform Developer) and exposure to large-scale enterprise data platforms like Databricks.