Data Quality and Migration Testing Lead

International Digital Partners Brasil; Brasil; Presencial; BRL 150 000 - 210 000; Tempo integral

Resumo da oferta

International Digital Partners Brasil seeks a Data Quality and Migration Testing Lead to validate migrations, ensure data quality, and monitor reconciliation across IT roadmap initiatives, ensuring transformed data meets enterprise standards before go-live.

You will define migration testing standards, review data mappings and transformation rules, contribute evidence for readiness, and collaborate with data teams, SMEs, SaaS vendors, and system integrators to align cutover timelines.

Qualificações

• Experience defining data migration QA strategies and criteria.
• Ability to design data quality rules and issue tracking.
• Ability to validate source-to-target mappings and transformations.

Responsabilidades

• Define and apply data migration testing standards aligned with QA framework.
• Review strategies, mappings, transformations, and validation criteria across projects.
• Contribute evidence for data readiness and migration readiness for dashboards.
• Support reconciliation, post-migration checks, and automation recommendations.
• Coordinate with data teams, SMEs, SaaS vendors, and integrators to align timelines.
• Support defect analysis and resolution tracking for data-related issues in JIRA.

Conhecimentos

Data quality testing

Data migration validation

Reconciliation

QA governance

Stakeholder coordination

Formação académica

Bachelor's degree in Computer Science, Information Systems, or related field

Ferramentas

JIRA

Azure DevOps

Descrição da oferta de emprego

The Data Quality and Migration Testing Lead will support data migration validation, data quality testing, reconciliation, and data monitoring practices across the organization's IT Roadmap initiatives, ensuring migrated and transformed data meets enterprise quality standards before and after go-live.

• Define and apply data migration testing standards consistent with the QA Framework and Operational Manual.
• Review data migration test strategies, data mapping, transformation rules, and validation criteria across projects, ensuring alignment with enterprise QA governance.
• Contribute quality gate evidence for data readiness and migration readiness, feeding into portfolio-level reporting and dashboards.

Data Validation & Quality

• Support source-to-target reconciliation and business validation, defining reconciliation approaches appropriate to each migration's scale and risk profile.
• Define data quality rules, exception management, and data issue tracking, using JIRA (with the X-Ray module) to manage data defects, exceptions, and traceability alongside functional test cases.
• Support migration mock runs, cutover validation, and post-migration checks, including recommending automation or scripted validation where reconciliation volumes justify it, in coordination with the QA Practice Lead's broader stack assessment.
• Where practical, integrate data validation checks into Azure DevOps pipelines to support repeatable mock-run and cutover testing.
• Coordinate with data teams, business SMEs, project teams, SaaS vendors, and system integrators to align migration validation with cutover timelines and data dependencies.
• Support defect analysis and resolution tracking for data-related issues through JIRA.

Reusable Assets

• Create reusable data migration validation checklists, reconciliation templates, and evidence standards to be adopted across project QA teams and institutionalized as part of the QA Practice.