Assistant Director - QA Engineering

Principal Duties: The QA Engineering Director will help drive continuous improvement and quality of data products that are leveraged across the enterprise to drive key business decisions, product direction and enable a great user experience. In this role The QA Engineering Director will demonstrate experience in software testing methodologies in a highly collaborative, fast-paced, agile environment. The QA Engineering Director will work with business analysts, data architects and various members of the data engineering team to implement a comprehensive test strategy using test automation tooling and framework. The QA Engineering Director will oversee the planning, execution and coordination of all automation and manual testing activities to ensure all business processes and workflows built on the enterprise data platform are delivered with high standards of quality.

General tasks and responsibilities will include:

• Responsible for planning, coordinating, and directing test activities for data products released on the Snowflake Enterprise Data Platform

• Provide day-to-day mentorship and coaching for quality engineers on how to work effectively and efficiently with their project teams.

• Provide ongoing coaching to direct reports including setting goals and objectives, writing performance reviews and holding regular one-on-one meetings.

• Interview and hire additional staff as needed to respond to growth of development teams.

• Drive test automation strategy and leverage tools for validating data and application functionality.

• Identify opportunities for productivity Products through quality engineering process improvements and in the Agile development lifecycle; develop procedures and proposals and lead the implementation of these changes.

• Document and analyze test results and recommend corrective action.

• Isolate, reproduce, manage, and maintain defects and test case databases, and verify fixes.

• Support user acceptance testing conducted by business partners or end users.

• Identify opportunities to reduce testing time and effort by automating repeatable tests.

• Define and champion quality and testing best practices among development teams.

Qualifications and Experience

Knowledge in cloud data warehousing technologies such as AWS, Azure, Snowflake.

Experience with Enterprise Database technologies like SQL Server, Oracle, Data Integration (Informatica, DataStage), business intelligence, and reporting tools.

Experience creating test automation frameworks and test cases

Demonstrated experience performing functional, end-to-end and regression testing.

Experience defining and implementing test management tools and processes.

bility to create, analyze, and publish quality metrics and measures across teams to communicate release quality, and deliver status updates to senior management.

Experience recommending and implementing best practices to improve quality engineering workflows and increase team productivity.

Strong understanding of software quality principles and processes.

Experience with test data creation

Experience designing and implementing test plans.

Experience with test management tools (e.g., TestRail, XRay, Qtest, Quality Center).

Experience with test automation frameworks (e.g., Selenium, Cypress, Puppeteer, Playwright).

ttention to detail and ability to identify, isolate and document defects.

Superior verbal and written communication skills for both technical and non-technical audiences.

Proficient in SQL and additional programming languages such as Python, Java etc.

Strong knowledge of agile practices and experience with agile planning tools (e.g., Jira)

Proficient in Microsoft Office (Required)

bachelor's degree and 7 years of professional work experience (or equivalent experience) is required.

7+ years of experience working in a quality assurance role for cloud/on-prem data warehouses

5+ years management experience overseeing 5 to 10 QA Engineers is required.

3+ years of Healthcare data solutions development experience