QA Manager – Data Warehouse Testing
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Job Description
QA Manager leading data warehouse, ETL, and data quality testing for an Azure-Databricks platform. Managing nearshore QA resources while developing hands-on Python and SQL automation.
Responsibilities:
- Lead QA efforts across the Data Warehouse team, ensuring enterprise data accuracy, integrity, reliability, and consistency
- Develop and execute testing strategies for data warehouses, ETL/ELT processes, Databricks notebooks, data pipelines, and transformations
- Design and automate data validation frameworks, including source-to-target reconciliation, data quality checks, and transformation testing
- Validate Databricks jobs, pipelines, Unity Catalog components, and associated data workflows
- Use SQL and Python to develop automated testing solutions, identify data discrepancies, and troubleshoot data quality issues
- Validate downstream reporting and analytics, including reconciliation of Power BI reports against underlying data sources
- Establish and improve QA processes, testing standards, automation frameworks, and best practices
- Lead, mentor, and manage a small team of nearshore QA engineers, overseeing work allocation, priorities, deliverables, and performance
- Evaluate the QA landscape, identify testing gaps, and implement quality and efficiency improvements
- Assess team capacity and resource requirements, including developing business cases for additional headcount
- Define and monitor QA metrics, test coverage, defect trends, and release readiness
- Partner with data engineers, developers, and business stakeholders to align QA practices with business requirements
- Write, review, and maintain automated tests using Python, Pytest, and SQL
- Perform API, database, and web application testing
- Support UI automation using Playwright
- Review automation code, establish coding standards, and optimize test suites
- Integrate testing into development and deployment workflows, including CI/CD pipelines
- Evaluate and adopt emerging QA technologies and AI-assisted development tools, including Claude Code
Requirements:
- 8+ years of experience in Quality Assurance, including at least 3 years in a hands-on QA Lead or QA Manager position
- Strong experience with data warehouse testing, ETL/ELT testing, data validation, and data quality assurance
- Proven ability to establish QA strategies, implement processes, and improve or build QA functions
- Experience managing and mentoring QA engineers, ideally including distributed, offshore, or nearshore resources
- Strong hands-on SQL experience, including data reconciliation, transformation validation, and data quality testing
- Proficiency in Python and Pytest for test automation
- Experience developing and maintaining automated testing frameworks
- Experience with API, database, and web application testing
- Experience with Playwright for UI automation
- Experience testing data pipelines and applications in cloud environments
- Strong understanding of Agile development methodologies and QA best practices
- Ability to balance strategic leadership responsibilities with hands-on technical contributions
- Excellent communication, stakeholder management, and organizational skills
- Ability to identify resource needs, communicate technical challenges, and recommend improvements to leadership
- Willingness to learn and adopt new technologies and AI-assisted development tools
- Preferred: hands-on experience testing Databricks environments, including notebooks, jobs, pipelines, and Unity Catalog
- Preferred: experience with Azure cloud services and modern cloud-based data platforms
- Preferred: familiarity with Spark SQL and Databricks data quality and automated testing frameworks
- Preferred: experience validating Power BI reports and analytics data
- Preferred: experience with CI/CD tools such as GitHub Actions or Azure DevOps
- Preferred: familiarity with test management tools such as Qase
- Preferred: experience with performance testing and troubleshooting
- Preferred: experience building QA teams or testing functions from the ground up
- Preferred: experience with AI-assisted development tools such as Claude Code
- Financial services experience is a plus, not required
Benefits:
- Remote work arrangement
- East Coast working hours
- Contract position
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