Senior Data Migration Validation Analyst

Location: Phoenix, AZ - Hybrid Duration: 06 months contract with possible extension Payrate: $69.76/HR on W2  Summary:We are seeking a Senior Data Migration Validation Analyst to oversee the end-to-end data reconciliation and quality assurance for a complex migration pipeline moving data from a legacy Mainframe system, through a SQL staging database, and into Salesforce CRM. The ideal candidate will bridge the gap between legacy data structures and modern cloud architecture, ensuring 100% data integrity, zero record loss, and accurate relational mapping.Key ResponsibilitiesEnd-to-End Reconciliation: Validate data at every stage of the migration pipeline (Mainframe to SQL and SQL to Salesforce), ensuring record counts, hash totals, and financial/statistical summaries match across all environments. Schema & Mapping Verification: Review Source-to-Target Mapping (STTM) documents and write complex SQL scripts to verify that data transformation logic, data types, and truncation rules are accurately implemented. Salesforce Target Validation: Use SOQL, Data Loader, and Workbench to verify relational integrity (parent-child relationships), External IDs, and object schemas remain intact after data loads. Defect Triage: Identify, document, and track data anomalies such as character encoding issues, orphaned records, and null constraint violations. Collaborate with Informatica ETL and Salesforce developers to resolve data quality issues. Required Technical SkillsSQL Mastery: Advanced SQL skills including complex joins, Common Table Expressions (CTEs), window functions, and data profiling scripts. Salesforce Core: Strong understanding of Salesforce data architecture, standard and custom objects, SOQL, and Salesforce data loading mechanisms. Legacy Data Literacy: Experience parsing fixed-width flat files and validating EBCDIC-to-ASCII conversions. Scripting/Automation: Experience using Python (Pandas) or advanced Excel/Power Query to perform automated row-by-row cross-system data comparisons. AI Experience: Experience with AI tools or technologies is a plus. Required QualificationsBachelor's degree in Computer Science, Information Systems, Business Administration, or a related field. Minimum of 5 years of experience with SQL Server, Salesforce Service Cloud, and data conversion testing/validation. Required SkillsSQL ServerSalesforce Service CloudData Conversion Testing / ValidationPreferred SkillsAI ExperienceLegacy DataScripting / Automation