Remote Data Integration QA Lead (SAP/CRM/AWS)

Circular Materials; United States; Remote; USD 57,000 - 64,000; Full time

Job summary

Circular Materials is seeking a QA Lead to own the QA strategy for a new enterprise data platform on AWS, integrating SAP and CRM data from multiple sources. You will define test plans, lead the QA Tester, and report quality metrics to stakeholders throughout a 12-month contract.

Responsibilities include end-to-end integration testing, data validation, and defect management, with emphasis on ensuring data completeness, accuracy, and reliability to support confident release decisions.

Qualifications

• Bachelor's degree required.
• 5+ years in software quality assurance with leadership experience.
• Hands-on in enterprise data integrations across SAP, SAP S/4HANA, CRM, and Dynamics.
• Experience validating interfaces, transformations and end-to-end data flows.
• Experience with AWS data platforms is a plus.
• Familiarity with Agile/Scrum methodologies.

Responsibilities

• Define and own the QA strategy, test plans, cases and quality gates for the data integration platform.
• Lead end-to-end integration testing across SAP, CRM and other source systems.
• Oversee data validation, reconciliation, and root-cause analysis with development teams.
• Mentor the QA Tester and coordinate daily testing activities.
• Produce metrics and reports to support go/no-go release decisions.
• Communicate testing progress, risks, and results to stakeholders.

Skills

QA Leadership

Data Integration Testing

End-to-End Testing

Agile/Scrum

Stakeholder Communication

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

SAP

SAP S/4HANA

CRM

Microsoft Dynamics

Job description

Circular Materials is seeking a QA Lead to own the QA strategy for a new enterprise data platform on AWS, integrating SAP and CRM data from multiple sources. You will define test plans, lead the QA Tester, and report quality metrics to stakeholders throughout a 12-month contract.

Responsibilities include end-to-end integration testing, data validation, and defect management, with emphasis on ensuring data completeness, accuracy, and reliability to support confident release decisions.