QA Manager – Data Warehouse Testing

3Core Systems, Inc

. Lead QA efforts across the Data Warehouse team, ensuring enterprise data accuracy, integrity, reliability, and consistency .

Posted 11/2/2026contractRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in Quality Assurance leadership, focusing on data warehouse testing, ETL/ELT processes, and automated testing frameworks. Proficient in SQL and Python for data validation and quality assurance, with a strong emphasis on mentoring QA teams and implementing best practices.

Highest-signal resume keywords

Quality Assurance LeadershipData Warehouse TestingSQL ProficiencyPython AutomationAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ValidationETL TestingAutomated Testing FrameworksAPI TestingDatabase TestingWeb Application TestingUI AutomationData Quality AssuranceTesting StrategiesData Reconciliation

Soft Skills

Communication SkillsStakeholder ManagementOrganizational SkillsMentoringTeam Management

Tools & Technologies

DatabricksPower BIPlaywrightCI/CD PipelinesGitHub ActionsAzure DevOpsPytestClaude CodeQaseSpark SQL

Industry Keywords

Financial ServicesCloud EnvironmentsData QualityTesting FunctionsQA Best Practices

Tech Stack

Tools & technologies

AzureCloudETLPythonSparkSQLUnity

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Remote work arrangement
East Coast working hours
Contract position