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Part-Time Data Migration Lead

Remote Full-time Live

Job Title: Part-Time Data Migration Lead Location: Remote Type: Part-Time or Contract Reports To: Director of Delivery Role Summary The Part-Time Data Migration Lead supports multiple Kinship implementations by managing data extraction, template validation, and transformation planning on a flexible, project-based schedule. This role ensures customer files are ready for import and assists with post-import validation. It is ideal for a detail-oriented Salesforce data specialist who can jump in at key phases of the project lifecycle to ensure data quality and cutover readiness.

Key Responsibilities

  • Maintain the Kinship data migration template library and versioning per customer
  • Collaborate with internal SMEs and the customer's database administrator to design field-level mappings and transformation logic
  • Work directly with the customer's designated data administrator to ensure templates are completed accurately and on time
  • Review field-level mapping documents, coordinate lookups, and ensure completeness of transformed datasets
  • Validate customer data submissions against import standards and naming conventions
  • Provide assistance during cutover planning, including final import readiness, duplicate resolution, and rollback support
  • Assist with sandbox data loads and staging environment prep during the configuration and testing phases
  • Coordinate closely with the Support PM and SMEs to ensure accurate and timely submissions

Qualifications

  • 3+ years of hands-on data migration experience with Salesforce or comparable CRM systems
  • Strong experience using Google Sheets for collaborative, formula-driven data validation and transformation
  • Proficient in automating data cleaning and transformation workflows using tools such as Google Apps Script, scheduled Flow processes, or ETL connectors
  • Experience with Salesforce backup and restore processes, including data extraction, storage, and recovery best practices
  • Familiarity with data masking techniques to protect sensitive or PII data during sandbox loading and testing
  • Familiarity with public-sector or financial data structures strongly preferred
  • Comfortable working with record relationships, object dependencies, and large datasets
  • Able to manage work part-time across multiple implementations and meet key cutover deadlines
  • Meticulous attention to detail and ability to catch edge cases in complex legacy files
  • Experience using Apsona for data deduplication is a bonus
  • Automation and spreadsheet logic are prioritized

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