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
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