Source description
About the role
Leadership & Strategy
Lead and mentor a team of QA engineers, fostering a culture of excellence, accountability, and continuous improvement.
Provide career mentorship, performance guidance, and development opportunities to team members.
Create awareness of QA offerings across the organisation and act as a strong representative of QA in cross-functional discussions.
Data Management
Design and implement data quality frameworks covering data validation, reconciliation, and completeness/accuracy checks across ETL pipelines, particularly in Databricks.
Establish test strategies for data ingestion, transformation, and mastering layers (e.g., bronze/silver/gold or raw/staging/mastered architectures), ensuring data lineage and integrity are preserved end-to-end.
Drive systems integration testing (SIT) and user acceptance testing (UAT) strategy and execution.
Process Ownership & Execution
Drive end-to-end ownership of QA processes and deliverables — from requirement gathering through release validation.
Design and implement robust QA frameworks, including test planning, test case development, execution, and reporting.
Build and scale test automation frameworks using Selenium and performance tools like JMeter, LoadRunner, etc.
Oversee implementation of automation and continuous integration pipelines to accelerate release cycles without compromising on quality.
Quality Operations
Ensure QA processes effectively address scalability, performance, security, and data integrity aspects of cloud-based software.
Work closely with DevOps teams to integrate quality into CI/CD workflows using agile ticket tracking and reporting tools.
Champion the adoption of industry best practices and modern QA tools to improve speed, efficiency, and test coverage.
Ensure the quality of client deliverables/implementations.
Ensure compliance with GRC processes and provide support to internal and external audits, as needed.
Metrics & Improvement
Define and track key KPIs and quality metrics to provide visibility into test coverage, defect rates, release readiness, and overall product quality.
Conduct root cause analysis on production issues and implement corrective/preventive actions to avoid recurrence.
Utilize data-driven insights to continuously optimize testing strategies and processes.
Cross-functional Collaboration
Collaborate with product managers, software engineers, and operations teams throughout the software development lifecycle to embed quality from ideation to deployment.
Participate actively in requirement gathering sessions, translating business needs into clear and testable acceptance criteria.
Partner with release management teams to ensure thorough testing and validation of cloud-based releases.
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