Quality Automation Lead - Contract to Hire
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Arthur J. Gallagher & Co.
Remote
Full-Time
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Job Description
Introduction Welcome to Gallagher
- a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what s right.
Overview Job Description:
Quality Automation Lead Position Title:
Quality Automation Lead Department:
Global Data Technology Location:
Remote Reports To:
Director of Quality Engineering About Arthur J. Gallagher Arthur J. Gallagher is one of the world s largest insurance brokerage and risk management companies, providing tailored insurance solutions and strategic organizational wellbeing initiatives. With over 50,000 employees globally, Gallagher is committed to innovation, client success, and delivering highquality solutions across all aspects of the business. Please note additional position details below: This is a Temp-To-Hire, W-2 position. We are not able to do 1099 or C2C. It is a fully remote role that will need to be based in the U.S. You must meet our U.S. Eligibility requirements for work authorization as noted under "Additional Information" at the bottom of the job description. How you'll make an impact Position Summary The Quality Automation Lead will serve as the primary architect of our enterprise data integrity and validation strategy. This role focuses on building automated, defense in depth testing solutions to ensure our insurance data remains accurate, consistent, and trusted across all BI and reporting platforms. The individual will develop scalable ETL and data pipeline validation frameworks, lead complex data migration reconciliations, and drive UAT readiness to maintain a reliable, enterprise wide single source of truth. Self-motivated in handling multiple assignments across cross-functional teams. Key Responsibilities Leadership & Strategy Lead QA Automation strategy and execution for ETL/DWH, data migration, and BI/reporting initiatives. Establish best practices for automated testing, data quality frameworks, and continuous validation processes. Mentor and guide QA engineers, ensuring high-quality deliverables and best practices. Work closely with Data Engineering, Product Owners, and Business stakeholders to define testing approaches and quality standards. Drive continuous improvement in QA processes, automation, and data validation frameworks. ETL / Data Warehouse Testing Design, implement, and maintain automated frameworks for validating ETL workflows, data lakes, and data warehouse processes. Validate data transformations, aggregations, business rules, and lineage across multi layered architectures. Perform comprehensive data profiling, schema validation, and quality rule testing thru Automation. Ensure accuracy, completeness, and consistency across large scale datasets and integrated systems. Integrate automated checks into orchestration tools such as Apache Airflow. Data Migration Testing Lead high visibility data migration and system conversion validation initiatives. Define and execute reconciliation strategies across source and target systems to ensure zero defect migration outcomes. Drive cross-functional resolution of data discrepancies and mapping issues. Reporting & BI Testing Validate end to end data flows supporting enterprise BI and reporting platforms. Perform report to data source validation for dashboards, operational reports, and analytical applications. Certify UAT readiness with structured data validation, defect management, and sign off processes. Technical Quality Engineering Build and maintain automated testing frameworks for data pipelines, transformations, APIs, and reporting assets. Implement automation testing integrated with CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, GitLab CI). Collaborate with engineering teams to embed test hooks, automated checkpoints, and validation steps in data pipelines. Set up continuous testing and monitoring for ETL, batch, streaming, and event driven data flows. Implement governance aligned quality checks using tools such as Collibra for metadata and lineage validation. Project & Delivery Support Lead QA automation planning and estimation coordination for data engineering, BI, and analytics projects. Collaborate with project managers, product owners, and engineering leads to define testing scope, timelines, and deliverables. Ensure on time delivery of testing milestones through proactive risk identification, mitigation planning, and issue resolution. Support Agile ceremonies and coordinate test planning, execution, and reporting. About You Qualifications Education Bachelor s degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience). Experience 6 + years of experience with a strong focus on data-centric testing. Proven experience testing ETL processes, data warehouses, data lakes, and complex data transformations. Hands on experience with automation tools for Data testing (e.g., Selenium, Query Surge, Datagaps, ACCELQ, python scripts). Experience working within Agile/Scrum environments.Technical Skills Automation Tools :
Selenium, QuerySurge, Datagaps, ACCELQ, and other test automation frameworks.CI/CD Integration :
Hands on experience embedding automated tests into CI/CD workflows (Azure DevOps, Jenkins, GitHub Actions, GitLab).Data Engineering & Scripting :
Strong query skills : Python, PySpark/Spark, SQL, shell scripting. Good to have experience withModern Data Stack:
DBT- transformation testing and data modeling. Collibra
- governance, metadata quality, and lineage verification. Apache Airflow
- workflow automation and test integrated ETL orchestration.
- elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing Charitable matching gift program And more...
- The benefits summary above applies to fulltime positions.
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