Part-Time Data Migration Lead

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 ukhAddDZwn Apply Job!