Part-Time Data Migration Lead

Remote
Part Time
Experienced

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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