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Specialized Salesforce Data Cloud skills reduce applicants, but Pune metro and mid-level experience raise competition.
Strong Salesforce Data Cloud and Agentforce focus limits transferability outside Salesforce-focused data roles.
Multiple mandatory technical skills, a required certification, and a 5+ years minimum create strict filters.
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Design and implement comprehensive data migration strategies for enterprise Salesforce ecosystems, including Sales Cloud, Service Cloud, PRM, ARM, custom objects, and Data Cloud.
Prepare, cleanse, and automate migration of high-volume structured and unstructured data using Salesforce APIs and ETL tools, ensuring adherence to schema, relationship mappings, and platform limits.
Establish automated validation, QA, and governance processes for post-migration data reconciliation and AI-related data compliance (e.g., Salesforce Einstein/Agentforce Trust Layer).
Minimum 5 years of hands-on Salesforce experience, including data architecture, security, and import/export tools.
Strong expertise with Salesforce Data Cloud ingestion, Data Streams, Identity Resolution, and Zero-Copy architecture; proficiency in SQL/SOQL and scripting languages (Python, Shell scripting, or Apex).
Experience with ETL tools such as Salesforce Data Loader, MuleSoft, Jitterbit, Talend, Informatica Cloud, or Workbench for high-volume data processing.
Work Experience Required: Not explicitly mentioned in the JD beyond technical experience; Certifications Preferred: Salesforce Certified Data Cloud Consultant (required/highly preferred).
Demonstrated capability in architecting and executing complex Salesforce data migrations involving multi-cloud environments and AI data readiness (e.g., Agentforce, RAG).
Technical proficiency in advanced ETL automation within Salesforce platform constraints and experience with integrating unstructured data for AI workflows.
Experience in Agile/Scrum environments and with Salesforce certifications related to Data Cloud, Integration Architecture, or AI specialties.