Data Quality Engineering Lead

Design, implement and maintain scalable, maintainable data quality automation

Implement test reporting and analytics solutions, or custom dashboards to surface quality insights

Utilize AWS services relevant to quality engineering, including CodePipeline, CodeBuild, ECS, Lambda, S3, and CloudWatch Synthetics

Integrate automated test suites into CI/CD pipelines using Jenkins, BitBucket pipelines, or AWS CodePipeline

Define and govern a quality strategy across multiple product teams, including test standards, tooling selection, and metrics frameworks

Lead and mentor QA engineers and SDETs across automated, manual, and exploratory testing disciplines

Track and present quality KPIs — including defect escape rate, test coverage, MTTR, and automation ROI — to senior stakeholder

Education Requirement

Bachelor’s degree in a related field or equivalent education and work experience.

Required Experience, Knowledge and Skills

7+ years of experience in software and quality engineering, with at least 3 years leading data quality engineering

Proven track record automating and measuring data quality assurance in production environments

Proficient in SQL

Proficient in Python or R

Proficient with Git for source control

Experience developing QA automation on AWS or equivalent cloud platforms