Salesforce - Data Migration Architect
Role Overview
Own end-to-end migration architecture for a large-scale Salesforce transformation involving terabytes of enterprise data.
Define migration strategies, Azure Data Factory architecture, Salesforce integration patterns, data governance, performance optimization, cutover planning, and migration governance.
Key Skills for This Role
Full Job Posting
Role summary
Own end-to-end migration architecture for a large-scale Salesforce transformation involving terabytes of enterprise data.
Define migration strategies, Azure Data Factory architecture, Salesforce integration patterns, data governance, performance optimization, cutover planning, and migration governance.
Key responsibilities
- Define enterprise-wide Salesforce migration architecture, scalable ADF solutions, source-to-target mapping, and high-volume Salesforce bulk migration mechanisms.
- Design data quality, cleansing, and reconciliation frameworks; define migration waves and cutover strategy.
- Establish migration governance and best practices; optimize multi-terabyte dataset performance.
- Review Salesforce object models and migration dependencies; collaborate with Salesforce architects, business teams, and Azure platform teams.
- Lead migration risk assessment and mitigation; ensure security, compliance, and audit requirements are met.
Mandatory skills
- Salesforce platform architecture, Standard and Custom Objects, Salesforce Data Architecture, Bulk API, integration patterns, and Salesforce transformation programs.
- Azure Data Factory, Azure Data Lake Storage, Azure SQL or Synapse, and ADF pipeline monitoring and performance tuning.
- Data reconciliation, data quality management, ETL/ELT design, and migration cutover management.
Experience and qualifications
- 12+ years of overall IT experience; 5+ years in Salesforce programs and 5+ years in Azure data engineering or data migration.
- At least two large-scale Salesforce migration programs.
- Large-scale data migration experience exceeding 1 TB is preferred.
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