QA Lead (Data Engineering) - Modern Data Platform Implementation

3 Weeks ago • 5-10 Years • Quality Assurance • Data Analyst

Job Summary

Job Description

This role requires a senior QA Lead with extensive experience in quality assurance for data platforms and analytics solutions, particularly Databricks implementations within the healthcare sector. Responsibilities include developing comprehensive QA strategies, establishing testing frameworks and methodologies, leading data migration testing from legacy systems, designing automated testing solutions for data pipelines and analytics workflows, implementing data quality validation, ensuring healthcare compliance, collaborating with cross-functional teams, mentoring QA team members, establishing quality metrics, and driving continuous improvement. The ideal candidate will have a proven track record of leading QA teams for complex data implementations and a strong understanding of data quality principles and healthcare regulations.
Must have:
  • Extensive experience in data platform QA
  • Databricks platform testing expertise
  • Healthcare data quality and compliance knowledge
  • Data migration testing experience
  • Test automation framework experience
  • Leadership and mentorship skills

Job Details

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 
 
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