Senior Engineer

About the role

We are seeking a Data Conversion Specialist to support leading data migration and conversion activities for enterprise technology implementations. This role will be responsible for data extraction, transformation, cleansing, validation, and loading, ensuring the successful migration of HR data across systems.

Responsibilities

• Lead end-to-end data conversion activities for HR technology implementations and upgrades.
• Develop data mapping, transformation, cleansing, and validation processes.
• Perform data reconciliation and resolve data quality issues.
• Support testing cycles, including mock conversions and production cutovers.
• Partner with HR, Technology, and business stakeholders to ensure data accuracy and readiness.
• Document conversion requirements, mapping rules, and validation results.
• Ensure compliance with data governance, privacy, and security standards.
• Perform data profiling, cleansing, transformation, enrichment, and reconciliation activities.
• Design and develop ETL/ELT processes for SAP-to-Workday migration.
• Create Source-to-Target Mapping (STTM) documents and transformation rules.
• Prepare Workday-compatible load files using EIBs and Workday data templates.
• Validate migrated data through reconciliation reports and business sign-off processes.
• Collaborate with Workday Functional Consultants to support tenant loads and testing cycles.
• Troubleshoot migration and conversion issues during SIT, UAT, and Go-Live phases.
• Implement data quality controls and ensure compliance with governance, privacy, and security policies.
• Support cutover planning, mock conversions, deployment activities, and post-production stabilization.

Must Have Technical/Functional Skills

• 10+ years of experience with Data 360 data migration and conversion tools.
• Salesforce Data Cloud (Data 360) experience.
• Experience in HR technology platforms (like Workday, SAP, etc.).
• Strong experience with ETL tools.
• Proven track record of data migration.
• Strong understanding of data mapping, data quality, and validation methodologies.

Qualifications

• Bachelor of Engineering/Computers
• Bachelor of Computer Science

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Pay

Salary Range: $100,000 – $110,000 a year