Senior QA Architect: Data Pipelines & AI Governance

Growth Acceleration Partners; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Growth Acceleration Partners seeks an experienced QA leader to define and drive end-to-end testing for new systems and modernization efforts. You will ensure data quality and monitoring for Databricks pipelines, and establish AI governance frameworks for production use.

You will integrate testing into GitHub-based CI/CD workflows and collaborate with product managers to translate business needs into robust, secure quality solutions.

Qualifications

• 8+ years of QA leadership and enterprise test strategy experience.
• Experience overseeing end-to-end testing for complex software from build to deployment.
• Proven ability to establish data quality, testing, and monitoring for large pipelines.
• History of managing GitHub-based workflows with traceability between issues and PRs.
• Experience evaluating AI solutions in production environments.

Responsibilities

• Define, implement, and lead end-to-end testing strategy for new development and modernization projects.
• Ensure data quality, testing, and monitoring standards for data pipelines (Databricks, PySpark, SQL).
• Establish frameworks to evaluate AI applications and agentic workflows in production.
• Integrate QA practices into Git-based CI/CD and deployment pipelines, incl. Databricks assets.
• Collaborate with product managers and cross-functional teams to translate business needs into quality solutions.
• Ensure testing complies with security and data privacy governance, including human oversight for AI.

Skills

QA leadership

Test strategy development

Data quality assurance

AI quality & governance

GitHub workflows

Security & privacy governance

Tools

Databricks

Delta Lake

Unity Catalog

Azure SQL/Cosmos DB

React with TypeScript

C# .NET 10

FastAPI

Job description

Growth Acceleration Partners seeks an experienced QA leader to define and drive end-to-end testing for new systems and modernization efforts. You will ensure data quality and monitoring for Databricks pipelines, and establish AI governance frameworks for production use.

You will integrate testing into GitHub-based CI/CD workflows and collaborate with product managers to translate business needs into robust, secure quality solutions.