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Staff QA Manager (US-based)

  • Austin, United States
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Job details

Experience
8+ years of QA experience, including 3+ years in a hands-on QA Lead or QA Manager role owning enterprise QA operations
Posting language
English
Posted

Original job description

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.

More about this job

Skills

  • Data engineering
  • Lead a team
  • Data warehouse
  • Databricks
  • Microsoft Power BI
  • Computer science
  • Computer technology
  • Coaching
  • Communication skills
  • Prioritization
  • Statistical quality control
  • Unity
  • Documentation
  • Microsoft Azure
  • Leadership
  • SQL
  • Apache Spark
  • Test automation
  • Python
  • CI/CD
  • GitHub
  • DevOps
  • Stakeholder management
  • Problem solving
  • Adaptability

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