Description:

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.
Responsibilities include maintaining the Kinship data migration template library and versioning per customer, collaborating with internal SMEs and the customer's database administrator to design field-level mappings and transformation logic, and working directly with the customer's designated data administrator to ensure templates are completed accurately and on time.
The role also involves reviewing field-level mapping documents, coordinating lookups, and ensuring completeness of transformed datasets, validating customer data submissions against import standards and naming conventions, and providing assistance during cutover planning, including final import readiness, duplicate resolution, and rollback support.
Additionally, the Data Migration Lead assists with sandbox data loads and staging environment prep during the configuration and testing phases and coordinates closely with the Support PM and SMEs to ensure accurate and timely submissions.

Requirements:

Candidates must have 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 is required.
Proficiency in automating data cleaning and transformation workflows using tools such as Google Apps Script, scheduled Flow processes, or ETL connectors is necessary.
Experience with Salesforce backup and restore processes, including data extraction, storage, and recovery best practices, is essential.
Familiarity with data masking techniques to protect sensitive or PII data during sandbox loading and testing is required.
Familiarity with public-sector or financial data structures is strongly preferred.
Candidates should be comfortable working with record relationships, object dependencies, and large datasets.
The ability to manage work part-time across multiple implementations and meet key cutover deadlines is crucial.
A meticulous attention to detail and the ability to catch edge cases in complex legacy files are important.
Experience using Apsona for data deduplication is a bonus.
Automation and spreadsheet logic are prioritized.

This position offers the flexibility of remote work on a part-time or contract basis.
The role provides an opportunity to work on multiple projects, enhancing professional experience in data migration.
Candidates will gain exposure to various customer implementations, broadening their skill set in data management and Salesforce.
The position allows for collaboration with internal SMEs and customer teams, fostering professional relationships and networking opportunities.
The role supports a work-life balance by offering a flexible project-based schedule.