WHAT WE DO
Founded in 2007, Growth Acceleration Partners (GAP) is a consulting and technology services company. We consult, design, build and modernize revenue-generating software and data engineering solutions for clients. With modernization services and AI tools, we help businesses achieve a competitive advantage through technology. GAP’s remote, integrated engineering teams use end-to-end solutions to innovate and align with your business goals. We have 600+ English-speaking engineers based in Latin America and approximately 20 U.S.-based engineers. With some of the highest customer satisfaction scores in the industry, GAP’s focus is customer and employee success.
GAP is a woman-owned company headquartered in Austin Texas. We are a values-based company focused on growing our people by investing in education, onsite English classes and training in the latest technologies, including AI, data analytics and machine learning. Our goal is to provide solutions for our customers that help them achieve critical business outcomes, while enabling our GAPSters and our communities to attain long-term success.
Summary
We are looking for a Staff QA Manager to take full ownership of QA operations and bring structure, sustainable capacity planning, and clear delivery visibility to a complex, cross-functional enterprise environment. In this hands-on leadership role, you will lead a team of onshore and nearshore QA testers, set QA strategy and standards, and stay close to the work through testing and automation. A primary focus will be Data Warehouse QA: resolving critical data quality issues, leading the backfilling and remediation of gaps across four prioritized datasets, and building automated validation across Databricks pipelines and Power BI reports. Operating with a high degree of autonomy, you will move the team from a best-effort approach to a sustainable execution model, partnering with technical leads, Data Warehouse teams, and business stakeholders to align competing priorities. Please note: this role is strictly onshore (US-based).
Education
Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, or a related technical field.
Professional Experience
Must be physically located in and authorized to work in the United States
8+ years of QA experience, including 3+ years in a hands-on QA Lead or QA Manager role owning enterprise QA operations
Extensive experience in Data Warehouse testing, ETL/ELT pipeline validation, and data quality remediation
Proven track record improving QA processes, defining capacity management strategies, and increasing delivery visibility
Experience leading and mentoring QA teams, including distributed or nearshore teams
Proven ability to navigate complex, cross-functional environments, manage competing priorities, and drive stakeholder alignment
Key Responsibilities
Take end-to-end ownership of the QA function, establishing operational structure, sustainable capacity planning, and clear visibility into QA delivery and project status
Lead Data Warehouse QA efforts, including the backfilling and remediation of data quality gaps across four prioritized datasets
Drive cross-team alignment by establishing consistent communication channels and prioritization frameworks with technical leads, Data Warehouse teams, and business stakeholders
Lead, mentor, and allocate resources within a team of onshore and nearshore QA testers, balancing ongoing development with urgent quality remediation
Define and implement QA strategy, processes, and best practices that replace best-effort approaches with a sustainable execution model
Test and validate Databricks notebooks, jobs, and pipelines, including data transformations and automated data quality checks
Design and automate data validation across Databricks, covering source-to-target reconciliation, Unity Catalog, and verification of Power BI figures against underlying data
Oversee testing, automation, and documentation of internal back-office web applications hosted in Azure, including code reviews and test suite optimization
Track and report on quality metrics, test coverage, and release readiness, proactively flagging risks and resolving cross-functional roadblocks
Required Technical Skills
Strong hands-on experience in the following areas:
QA Leadership & Operations: Capacity planning, resource allocation, prioritization frameworks, QA process optimization, and delivery metrics
Data Warehouse & Data Quality: Data Warehouse testing, data transformation validation, backfill validation, source-to-target reconciliation, and automated data quality checks
Data Platform: Databricks (Notebooks, Jobs, Pipelines, Unity Catalog, Dashboards)
Databases & SQL: Advanced SQL for reconciliation, gap analysis, and backend validation; Spark SQL
Test Automation: Python, Pytest, Playwright, and API testing (Requests, Swagger/OpenAPI)
Cloud & Tooling: Azure; test management tools (Qase preferred)
Nice to Have
Experience with the Databricks Data Quality framework, Databricks Asset Bundles, and ELT/transformation testing frameworks
Experience testing or validating Power BI reports
Experience with CI/CD pipelines (GitHub Actions or Azure DevOps)
Experience with performance testing tools
Familiarity with AI-assisted testing and development tools such as Claude Code
Soft Skills
Advanced English proficiency (written and verbal) with strong executive communication skills
Outstanding stakeholder management, with the ability to build consensus across teams
High ownership, autonomy, and a strategic problem-solving mindset
Resilience and adaptability to lead a team through operational challenges and shifting priorities
At Growth Acceleration Partners, we're an equal opportunity employer committed to building a diverse and inclusive team. We value everyone's unique background, and we provide equal opportunities regardless of race, color, creed, religion, sexual orientation, gender identity, age, national origin, disability, marital status, veteran status or any other personal right protected by law. We foster a culture of belonging and strive to provide a welcoming environment where everyone feels safe to contribute and grow.
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