QA Lead Engineer
Lead QA Engineer
A rapidly growing organization committed to leveraging data for strategic decision-making is seeking a Lead QA Engineer to drive quality assurance initiatives within its data engineering division. With a strong focus on innovation, data integrity, and scalable cloud-based solutions, this company values collaboration, continuous improvement, and delivering high-impact results. Their work culture encourages ownership, mentorship, and technical excellence at every level.
As the Lead QA Engineer, you will take charge of designing and executing comprehensive quality assurance strategies for cloud-based data pipelines. You’ll lead a team of QA professionals, oversee test planning and execution, and develop automation frameworks that support Azure Data Factory and Azure Databricks environments. Your role will be integral in ensuring the performance, reliability, and scalability of enterprise data solutions, while fostering a culture of quality across the engineering team.
Key Responsibilities:
- Lead and manage the QA team, including task assignment, mentorship, and performance reviews.
- Design and implement QA strategies tailored to data pipeline testing and validation.
- Develop detailed test plans and automated test scripts for data workflows in Azure environments.
- Perform thorough performance testing to ensure pipelines meet reliability and scalability goals.
- Collaborate closely with data engineers, analysts, and stakeholders to align QA with project objectives.
- Track, manage, and resolve defects throughout the development lifecycle.
- Maintain clear and comprehensive documentation of QA processes, test cases, and outcomes.
Qualifications:
- Minimum of 5 years of experience in quality assurance, with at least 2 years in a leadership role.
- Hands-on experience with Azure Data Factory, Azure Databricks, and Power BI.
- Strong proficiency in SQL and Python; familiarity with automated testing tools for data environments.
- Deep understanding of data pipeline architectures, ETL processes, and data validation techniques.
- Proven ability to lead, mentor, and develop QA professionals in a collaborative environment.
- Exceptional problem-solving, organizational, and communication skills.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- QA and Azure-related certifications are a plus.
Take the Next Step in Your Career
If you're a quality-focused professional ready to lead data QA initiatives and make a lasting impact, we’d love to connect. Submit your resume and contact information today to learn more about this exciting opportunity.