PLM Data Migration Engineer: Agile to Cloud

Cognizant; Austin, Town of Texas (TX, WI); On-site; USD 100,000 - 170,000; Full time

Job summary

Cognizant is seeking an Agile Data Migration expert - Software engineer for an onsite assignment in Austin, TX to drive data extraction, transformation, and loading from Oracle Agile PLM to the NextGen PLM+ cloud platform.

You will collaborate with PLM+, DBAs and SMEs to design extraction logic, build scripts (SQL/PLSQL/SDK), validate data quality, manage FileVault content, and optimize performance across full and delta migrations, with hands‑on participation in dry runs and UAT.

Qualifications

• Experience with Oracle Agile PLM required.
• Data migration experience required.
• Ability to design extraction logic for Item, BOM, Change, and FileVault data.
• Experience with SQL/PLSQL/SDK for high-volume extractions.

Responsibilities

• Agile Schema Analysis to map Item, BOM, Change, AML and FileVault structures.
• Extraction Script Development using SQL/PLSQL/SDK for high-volume objects.
• Data Quality Validation including profiling and referential integrity checks.
• Revision-Based Extraction to capture full history for PLM+ migration.
• Performance Optimization to reduce extraction time.
• Cross‑Team Collaboration with PLM+, DBAs, SMEs, and integration teams.

Skills

Agile Schema Analysis

Extraction Script Development

Data Quality Validation

Revision-Based Extraction

Performance Optimization

FileVault Handling

Staging & Transformation

Dry Run & UAT Support

Cross-Team Collaboration

Tools

SQL/PLSQL/SDK

Job description

Cognizant is seeking an Agile Data Migration expert - Software engineer for an onsite assignment in Austin, TX to drive data extraction, transformation, and loading from Oracle Agile PLM to the NextGen PLM+ cloud platform.

You will collaborate with PLM+, DBAs and SMEs to design extraction logic, build scripts (SQL/PLSQL/SDK), validate data quality, manage FileVault content, and optimize performance across full and delta migrations, with hands‑on participation in dry runs and UAT.