Data Migration Validation Analyst
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+17 more
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
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
What Are The Top Skills Required For Azure Developers?
Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
Data Analyst Salary in the UK