QA Lead - Data Engineering

April 7

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Rackspace Technology

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Rackspace Technology is a leading provider of managed cloud services, offering a comprehensive range of cloud and application solutions. The company specializes in helping businesses increase efficiency and reliability through cloud adoption, application modernization, and data solutions, leveraging technologies such as AI, machine learning, and next-gen data platforms. They offer a full suite of services including consulting, application modernization, cloud security, and multicloud strategies, tailoring solutions to meet the specific needs of sectors such as healthcare, financial services, and public utilities. Rackspace Technology is known for its expertise in navigating complex cloud environments and providing advanced managed services to optimize performance and ensure compliance.

IT as a Service • Multi-Cloud • Managed Hosting • Managed AWS/Azure/Google Cloud Platform/OpenStack/Alibaba • Managed Private Cloud for VMware/Microsoft/OpenStack

5001 - 10000 employees

Founded 1998

☁️ SaaS

📋 Description

• 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. • 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. • 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.

🎯 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 • Professional certifications such as ISTQB, CSTE, or equivalent