Senior Data Conversion Engineer – Salesforce Data Cloud Workday

Job Description

• Data CloudData 360 Conversion Engineer
• Must Have Technical/Functional Skills
• 10 years experience with Experience with Data 360 data migration and conversion tools.
• Salesforce Data Cloud (Data 360)
• 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.
• Successful implementations in prior years of experience

Roles & Responsibilities

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. The ideal candidate will have hands-on experience with Data 360 and HR technology platforms.

Key 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.