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# Lead Quality Engineer w/ AWS Databricks

- **Company:** Cognizant Technology Solutions Corporation
- **Location:** Phoenix, AZ, United States (Remote available)
- **Experience:** Expert
- **Salary:** $71,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Automation of Tests, Data Validation, Data Dictionary, Information Engineering, Data Governance, Data Transformation, Database Queries, Regression Testing, Software Requirements Analysis, SQL Databases, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.phoenixjobs.com/job.asp?id=3339318413&tx=KL8787FFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Experience in developing and documenting test plans and test cases based on software requirements and technical specifications.
 * Understanding of data projects, data ingestion pipelines, and data transformation testing in the Databricks environment.
 * Designing secure, scalable, and resilient cloud data solutions using AWS and Databricks within a hybrid work model.
 * Strong SQL skills for validating data transformations and documenting verification queries.
 * Experience with test automation strategies, regression testing, and data quality validation.
 * Knowledge of data access controls, Unity Catalog, Delta Sharing, and data governance concepts.

These will help you stand out

 * Demonstrated ability to support Unity Catalog implementation, data dictionary migration, and Delta Sharing validation.
 * Experience identifying and applying frameworks such as DQx for data quality validation and automation.
 * Strong collaboration skills with Development and Product Owners to resolve quality engineering issues.
 * Excellent communication skills for providing regular updates on testing status, issues, risks, deployments, and release activities.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

## Description

As a Lead Quality Engineer, you will make an impact by ensuring the highest standards of data quality, security, and compliance across our data engineering initiatives. You will be a valued member of the team and work collaboratively with managers, primary teams, and other stakeholders.

In this role, you will:

 * Develop and document test plans and test cases based on software requirements and technical specifications.
 * Understand, plan, and execute testing for data projects in the Databricks environment.
 * Validate data ingestion pipelines, data transformations, and data quality, completeness, and performance.
 * Create and document SQL-based test cases to verify data transformations across the Medallion Architecture.
 * Develop and maintain automation scripts for repeatable regression and data validation testing.
 * Validate data access controls, role-based security, and non-public information (NPI) requirements.
 * Support Unity Catalog implementation, data dictionary migration, and Delta Sharing validation.
 * Identify opportunities to apply the DQx framework for data quality validation and automation.
 * Collaborate with Development and Product Owners to resolve quality engineering issues.
 * Provide regular communication on testing status, issues, risks, deployments, and release activities.

Work model:

US Remote; Hybrid for NY/NJ candidates highly preferred.

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.


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