QA Lead (Data Engineering) - Modern Data Platform Implementation - Remote

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.

In Short

• Develop and implement comprehensive QA strategies for Databricks or Lakehouse platform implementations
• Establish testing frameworks, methodologies, and best practices for data testing
• 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
• Drive continuous improvement in testing processes and methodologies

Requirements

• 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

Benefits

• Competitive salary and performance-based bonuses
• Health and wellness benefits
• Opportunities for professional development and certifications
• Flexible working hours
• Collaborative and innovative work environment