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Tier-1 employer and metro location increase applicant density despite specialized Salesforce Data Cloud requirements.
Deep Salesforce Data Cloud, migration, and certification requirements strongly limit cross-industry transferability.
Multiple mandatory years, required Salesforce Data Cloud certifications, and specialized migration skills create very strict filters.
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Own the end-to-end Salesforce Data Cloud architecture for all Migration Factory tracks including data ingestion, identity resolution, unified profiles, segmentation activation, and data readiness assessment for AI/Agentforce use.
Lead data migration strategy across multiple enterprise tracks including data profiling, ETL pipeline design, transformation mapping, cutover planning, and data quality/reconciliation standards for large-scale customer data migration.
Collaborate cross-functionally with other track architects and client data teams to ensure well-governed, AI-ready unified data foundation with continuous improvement of data migration accelerators and tooling.
8–14 years of experience in data architecture, data engineering, and Salesforce platform solutions with 5+ years hands-on Salesforce Data Cloud implementation experience.
4+ years of enterprise data migration experience owning data profiling, ETL, transformation, and cutover for large-scale programs (10M+ records).
Required Salesforce Certifications: Data Cloud Consultant, Certified Data Architect, Application Architect, Agentforce Specialist.
Work Experience Required: 8–14 years as detailed above. Notice period: Not explicitly mentioned in the JD.
Proven expert in enterprise data migration standards and methodologies with ability to enforce them across multiple concurrent migration tracks within a delivery factory environment.
Strong domain knowledge of Salesforce Data Cloud including architecture for AI readiness supporting Agentforce, identity resolution, consent compliance, and activation integration.
Experienced in collaborative delivery models involving multiple Salesforce product tracks and able to communicate complex data architecture concepts to technical and executive stakeholders.