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Data QA Lead
Job Description
Job Description:Act as the QA owner for one delivery team: participate in backlog refinement, sprint planning, daily scrum, review and retrospective Apply the shift-left, test-driven model: agree acceptance criteria and test design with the developer and business analyst before development starts, so tests lead and code follows Plan and estimate QA effort per work item; commit QA capacity at sprint planning and manage it through the sprint Lead and mentor the QA engineers assigned to the team; review their test designs, queries and defect reports Design and execute data validation, source to target, integration, regression and post-production checks across SSIS, dbt, Fivetran, Python ingestion and Databricks pipelines Own the team's quality gate results: confirm accuracy, latency, performance and security gates are met before each environment promotion and give the QA sign-off for release Log, triage and track defects in Azure DevOps; drive resolution with developers and communicate impact to the business analyst and product owner Track and report team level quality metrics: first-pass quality, defect escape rate, automated regression coverage and QA cycle time Coordinate knowledge transfer and shadow coverage during transition, and maintain the team's test assets and runbooks Lead root cause analysis for post-production defects affecting the team's scope and implement preventive test coverage Use AI/LLM-powered tools (e.g., Claude, Copilot) to accelerate test case generation, synthetic data and query review, validating AI-assisted output before use Communicate QA status, risks and release readiness to the Practice Lead and US stakeholders
Qualification
Qualifications: 6+ years in QA testing, including 3+ years in a data engineering or data warehousing environment and 2+ years leading or coordinating testers Strong SQL for data validation, reconciliation and profiling; working Python for test scripting Hands-on experience testing ETL/ELT pipelines built with tools such as SSIS, dbt, Fivetran or Python-based ingestion Experience with test planning, estimation and risk-based test coverage in agile sprints Experience with defect management and test tracking in Azure DevOps or equivalent Excellent verbal and written communication skills, able to explain data quality issues to technical and non-technical audiences Ability to work independently under minimal supervision and a strong track record of meeting delivery commitments
About The Global Business Services
A dynamic offshore hub based in the Philippines, serving as a vital extension of its parent organization’s operations. As an internal support center, it delivers high-impact services across multiple departments, including technology, compliance, finance, and operations, supporting various lines of business.
Data QA Lead
Salary
100,000-130,000/month
Position Level
Supervisor
Job Level
Executive
Job Type
Hiring Until
12/31/2026