Data Migration Specialist

Remote Jobs; City of Albany (NY); On-site; USD 80,000 - 110,000; Full time

Job summary

Remote Jobs seeks an experienced Data Migration Specialist to support an SAP SuccessFactors implementation in the higher education sector. The role focuses on extracting, transforming, and loading employee data from legacy HRIS systems into SuccessFactors while ensuring data integrity and regulatory compliance.

The candidate will leverage SQL, Excel, and SAP data migration utilities, work with cross-functional teams, and manage mock loads and cutover activities with strict confidentiality of

Qualifications

• Strong technical skills in data mapping, cleansing, and validation.
• Experience with ETL processes and data quality checks.
• Familiarity with higher education HR structures and policies is a plus.

Responsibilities

• Develop migration strategies for SAP SuccessFactors implementation.
• Create data templates and mapping rules for legacy HRIS data.
• Perform mock loads and validate results before cutover.
• Execute cutover activities while maintaining data confidentiality.
• Collaborate with functional consultants, IT teams, and HR stakeholders.

Skills

Data mapping

Data cleansing

Data validation

ETL

Tools

SQL

Excel

SAP data migration utilities

Job description

Job description:

We are seeking an experienced Data Migration Specialist to support our SAP SuccessFactors implementation project within the higher education sector.

The ideal candidate will be responsible for extracting, transforming, and loading (ETL) employee data from legacy HRIS systems into SuccessFactors modules, ensuring data integrity, accuracy, and compliance with university policies and regulatory requirements.

This role requires strong technical skills in data mapping, cleansing, and validation, along with proficiency in tools such as SQL, Excel, and SAP data migration utilities.

The successful candidate will collaborate closely with functional consultants, IT teams, and HR stakeholders to develop migration strategies, create data templates, perform mock loads, and execute cutover activities while maintaining strict confidentiality of sensitive employee information. Experience with higher education HR structures, including complex organizational hierarchies, union rules, academic appointments, and student employee classifications, is highly preferred.