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Strong Moody's brand but specialized Databricks/PySpark focus limits applicant density.
Specialized Databricks and PySpark data-quality skills transfer mainly to similar data-platform roles.
Explicit 6+ years, mandatory Databricks/PySpark/SQL and leadership make filters highly strict.
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Lead quality assurance strategy and execution for enterprise data platform pipelines using Databricks and Python.
Ensure end-to-end automated data validation and testing across Bronze, Silver, and Gold data layers following Medallion architecture standards.
Mentor QA engineers, oversee quality governance activities, and collaborate with cross-functional teams to influence data solution quality and delivery decisions.
6+ years in Software Quality Assurance or Data Quality Engineering with automation experience for complex data platforms.
Strong hands-on skills in Databricks SQL, Python, and PySpark for testing notebooks, workflows, and pipelines.
Bachelor's degree in Computer Science, IT, Engineering, or related field.
Experience working in Agile/Scrum environments with tools like Xray and Jira.
Experienced in leading QA initiatives in large-scale enterprise data ecosystems using Medallion architecture.
Capable of defining and driving automation roadmap and quality gates in data platform projects.
Skilled at stakeholder management, mentoring teams, and driving continuous improvement in data quality assurance.