Senior Data Migration Validation Analyst-Legacy Mainframe-Salesforce
S R INTERNATIONAL INC · Phoenix, Arizona, United States · $135K–$156K/yr
IT Services and IT Consulting · 11-50 employees
About the role
The analyst will oversee end-to-end data reconciliation and quality assurance for a complex migration pipeline from legacy Mainframe systems to Salesforce. They are responsible for verifying schema mappings, performing data integrity checks, and collaborating with developers to remediate data anomalies.
What they look for
Requirements
Candidates must have a bachelor's degree and at least 5 years of experience in SQL Server, Salesforce Service Cloud, and data conversion testing. Proficiency in complex SQL querying, data architecture, and scripting tools like Python or Excel is required.
Full description
LOOKING FOR ONLY CURRENT ARIZONA RESIDENTS
Job Title: Senior Data Migration Validation Analyst (Legacy Mainframe to Salesforce Service Cloud)
Job ID: 13094 (Hybrid)
Client: State of Arizona - AZDES - DTS
Closing Date & Time: 8/5/2026@ 4 PM
Local To Phoenix Only. Hybrid once a week or as needed.
Skill Required:
- SQL Server
- Salesforce Service Cloud
- Data Conversion Testing/Validation
Preference:
- AI experience
- Legacy Data
- Scripting/Automation
Position Description 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 perfect relational mapping.
Key Responsibilities:
- End-to-End Reconciliation: Validate data at every hop 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 that relational integrity (parent-child relationships), External IDs, and object schemas are perfectly intact post-load.
- Defect Triage: Identify, document, and track data anomalies (e.g., character encoding issues, orphaned records, null constraint violations) and collaborate with Informatica ETL and Salesforce developers to remediate them.
Required Technical Skills
- SQL Mastery: Advanced querying skills (complex joins, CTEs, window functions, and data profiling scripts).
- Salesforce Core: Strong understanding of Salesforce data architecture, standard/custom objects, SOQL, and data loading mechanisms.
- Legacy Data Literacy: Familiarity with parsing fixed-width flat files, or validating EBCDIC-to-ASCII conversions.
- Scripting/Automation: Experience using Python (Pandas) or advanced Excel/Power Query to perform automated, row-by-row cross-system file comparisons.
- AI Exp: would be a plus
Required Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field.
- Minimum of 5 years of experience with SQL Server, Salesforce Service Cloud and data conversion testing / validation.
Flexible work from home options available.
