Data Architect - Flexible/Remote Data Modeling & Testing

Vytwo; Dallas (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Vytwo is seeking a data-focused professional to collaborate with product, engineering, and QA teams. You will translate business data needs into logical and physical data models, define mappings, and design data integration specifications. The role emphasizes test data strategies, data quality, and modernization initiatives.

The ideal candidate has strong experience in data analysis, database design, and working in Agile environments. Flexible work-from-home options are available.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Experience in data analysis, data architecture, and test data management.
• Proficiency in SQL for data discovery, validation, reconciliation, and troubleshooting.
• Experience analyzing relational databases, mainframe structures, files, batch jobs, APIs, and data consumers.

Responsibilities

• Partner with stakeholders and teams to understand data requirements and source systems.
• Translate requirements into data models, source-to-target mappings, and integration specs.
• Define test data strategies for functional, regression, and performance testing.
• Design reusable test data patterns and environment refresh processes.
• Explain data concepts to technical and non-technical stakeholders.
• Collaborate across architecture, development, testing, and operations to support modernization.

Skills

COBOL

CICS

DB2

DB2 utilities

SQL

JCL

MVS Utilities

CA7 Scheduling

Jira

Production Support

Education

Bachelor's degree in Computer Science/IT/Data Management or related field

Tools

CA7 Scheduling tool

Jira

Easytrieve

SPUFI

Job description

Vytwo is seeking a data-focused professional to collaborate with product, engineering, and QA teams. You will translate business data needs into logical and physical data models, define mappings, and design data integration specifications. The role emphasizes test data strategies, data quality, and modernization initiatives.

The ideal candidate has strong experience in data analysis, database design, and working in Agile environments. Flexible work-from-home options are available.