Data Migration Validation Analyst

TexcelVision Inc.
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Excel Artificial Intelligence Software Bug Management Encodings Information Systems Databases Customer Data Management Data Conversion Data Integrity Extract Transform Load (ETL) Data Mapping Data Transformation
+17 more
Data Migration Data Profiling Data Structures Intrusion Detection Systems Mainframes Microsoft SQL Server Parsing Salesforce.Com SQL Databases Scripting American Standard Code for Information Interchange (ASCII) Powerquery Pandas Data Loader Information Technology Salesforce Object Query Language (SOQL) Data Objects

Job 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.

Requirements

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., * SQL Server

  • Salesforce Service Cloud
  • Data Conversion Testing/Validation

Preferred Skills

  • AI experience
  • Legacy Data
  • Scripting/Automation

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