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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