Assistant Director - Quality Assurance

Skills and Competencies :

- 6+ years of experience in Software Quality Assurance or Data Quality Engineering, including automation - first testing for complex enterprise data platforms

- Strong hands - on experience with Databricks SQL and Python, including testing of notebooks, workflows, pipelines, and scheduled jobs

- Solid understanding of Medallion architecture (Bronze, Silver, Gold) and data lifecycle validation practices across enterprise data ecosystems

- Expertise in PySpark for data validation, test automation, and building scalable, reusable testing frameworks

- Strong proficiency in SQL and data validation techniques across dataset, record, schema, transformation, and source - to - target mapping levels

- Experience working in Agile or Scrum environments with tools such as Xray for test management and Jira for defect tracking

- Proven experience leading quality assurance initiatives, mentoring team members, driving quality governance, managing stakeholder expectations, and influencing delivery decisions

- Demonstrated proficiency in artificial intelligence concepts, with hands - on experience using AI tools to streamline workflows and enhance operational efficiency.

- Proven ability to implement AI - powered solutions to solve business challenges.

- Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.

Education :

- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field

Responsibilities :

- Ensure data quality, reliability, and correctness across large - scale data platform pipelines through automated validation and testing practices

- Lead end - to - end data quality validation across Bronze, Silver, and Gold data layers, establishing testing standards and quality gates across projects

- Define and drive the overall quality assurance strategy, test approach, automation roadmap, and release readiness criteria for enterprise data platform initiatives

- Mentor and provide technical leadership to quality assurance engineers by reviewing test plans, automation frameworks, validation logic, defect analysis, and quality metrics

- Collaborate with engineering, platform, product, and architecture teams to influence solution design, identify quality risks early, and ensure testability of data solutions

- Own quality governance activities including test execution reviews, defect triage, risk assessments, root cause analysis, and executive - level status reporting

- Drive continuous improvement initiatives by identifying opportunities to enhance automation coverage, testing efficiency, data quality controls, and operational excellence

- Act as the primary quality assurance point of contact for stakeholders, providing leadership during releases, production validation, issue resolution, and audit or compliance reviews

Skills

Software Quality Assurance, Testing, IT Head, Test Head, ETL/Datawarehouse Testing, PySpark, Validation Testing, Automation Testing, Data Validation, Data Quality, SQL