QA Lead (Data Engineering) - Modern Data Platform Implementation

Overview 

We are seeking a senior QA Lead with extensive experience in quality assurance for data platforms and analytics solutions. This role requires expertise in testing methodologies for Databricks implementations, with a focus on healthcare data quality and compliance. The ideal candidate will have a proven track record of leading QA teams and establishing robust testing frameworks for modern data platforms. 

About the Role 

As a QA Lead, you will be responsible for ensuring the quality, reliability, and compliance of Databricks-based Modern Data Platform implementations. You will lead the quality assurance strategy and execution for data migration initiatives from legacy systems, establishing testing frameworks, methodologies, and best practices to ensure successful delivery of high-quality solutions. 

Key Responsibilities 

Develop and implement comprehensive QA strategies for Databricks or Lakehouse platform implementations 

Establish testing frameworks, methodologies, and best practices for data testing Data platform 

Lead the testing of Data Warehouse/Data Lake migration processes from legacy systems to Databricks 

Design and implement automated testing solutions for data pipelines and analytics workflows 

Create and maintain test plans, test cases, and test data for complex data scenarios 

Implement data quality validation frameworks and monitoring solutions 

Ensure compliance with healthcare industry regulations and data governance requirements 

Collaborate with cross-functional teams to integrate quality assurance throughout the development lifecycle 

Lead and mentor QA team members, providing technical guidance and career development 

Establish metrics and reporting mechanisms to track data quality and testing effectiveness 

Identify and mitigate quality risks in data platform implementations 

Drive continuous improvement in testing processes and methodologies 

Qualifications 

Extensive experience in quality assurance for data platforms and analytics solutions 

Proven track record of leading QA teams for complex data implementations 

Experience with Databricks platform and Lakehouse architecture testing 

Strong understanding of data quality principles and methodologies 

Experience testing data migrations from legacy systems to modern platforms 

Knowledge of healthcare data requirements, regulations, and compliance standards 

Experience with test automation frameworks and tools for data solutions 

Strong understanding of data engineering and analytics workflows 

Experience with Agile testing methodologies 

Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred 

Professional certifications such as ISTQB, CSTE, or equivalent