Position OverviewAs a Quality Assurance Architect within PNC's Data and Automation organization, you will be based in Pittsburgh, PA or Strongsville, OH.
We are seeking an experienced Quality Assurance Architect to lead the design, implementation, and continuous improvement of enterprise-wide quality engineering practices for large-scale Big Data, Hadoop, and Data Warehouse platforms. This role will drive test strategy, automation architecture, and quality governance across complex data ecosystems while collaborating with cross-functional teams in an onsite-offshore delivery model.
The ideal candidate brings strong expertise in SDLC and STLC processes, hands-on technical knowledge of Python, Big Data technologies, Spark/PySpark, HQL/SQL, and experience working within AWS/Cloud environments.
Key Responsibilities
022 Define and implement QA architecture, test strategies, and quality frameworks for Big Data, Hadoop, and Data Warehouse applications.
022 Establish best practices across the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
022 Lead a team of 35 QA engineers, providing technical guidance, mentoring, and performance oversight.
022 Coordinate delivery across onsite and offshore teams, ensuring effective communication, planning, and execution.
022 Design and implement scalable test automation solutions for data ingestion, transformation, processing, and reporting systems.
022 Develop and maintain automated validation frameworks using Python and related technologies.
022 Collaborate with Architects, Product Owners, Developers, Data Engineers, and Business stakeholders to ensure high-quality releases.
022 Create test strategies covering functional, integration, regression, performance, ETL, data validation, and end-to-end testing.
022 Validate data pipelines and large datasets across Hadoop, Spark, Data Warehouse, and Cloud platforms.
022 Perform root cause analysis of defects and drive continuous quality improvements.
022 Define quality metrics, reporting mechanisms, and release readiness criteria.
022 Support Agile, Scrum, and DevOps practices with a quality-first mindset.
Qualifications
022 Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
022 Extensive experience in Quality Assurance, Test Architecture, or Quality Engineering roles.
022 Strong knowledge of SDLC and STLC methodologies across enterprise application environments.
022 Proven experience leading teams of 35 members in onsite-offshore delivery models.
022 Strong hands-on development and automation experience using Python.
022 Experience testing and validating solutions built on Big Data/Hadoop ecosystems.
022 Strong expertise in Data Warehouse and ETL testing.
022 Experience working with Apache Spark and PySpark environments.
022 Proficiency in HQL and SQL for complex data validation and analysis.
022 Experience working with AWS or other cloud platforms.
022 Knowledge of CI/CD pipelines and modern test automation frameworks.
022 Strong analytical, problem-solving, and communication skills.
Preferred Skills
022 Experience with Hadoop ecosystem tools such as Hive, HDFS, YARN, and related technologies.
022 Exposure to data quality frameworks and metadata validation tools.
022 Experience with performance and scalability testing for distributed data platforms.
022 Knowledge of Agile, DevOps, and Continuous Testing practices.
022 Familiarity with data governance, data lineage, and compliance controls.
022 Relevant QA, Cloud, or Big Data certifications are a plus.
Technical Skills
Core Technologies
022 Python
022 Big Data / Hadoop
022 Data Warehouse
022 Spark
022 PySpark
022 HQL
022 SQL
022 AWS / Cloud Platforms
Quality Engineering
022 Test Automation
022 ETL Testing
022 Data Validation Testing
022 API Testing
022 Functional Testing
022 Integration Testing
022 Regression Testing
022 Performance Testing
Methodologies
022 SDLC
022 STLC
022 Agile/Scrum
022 DevOps
022 CI/CD
This role is ideal for a senior-quality professional who can combine test architecture leadership, deep data-platform expertise, and hands-on Python development skills to drive quality across complex enterprise data ecosystems.
Job Description- Responsible for development and support of processes, practices and tools necessary to produce quality products/services and to manage risk.
- Researches and recommends hardware and software purchases for software quality assurance program. Selects and implements formal QA methodologies.
- Architects and implements agile testing practices and tools. Evaluates, recommends and implements enterprise-wide defect-tracking software.
- Assists in planning and estimation of Quality Assurance support for new programs and projects. Conducts audits and reviews.
- Supports Quality Assurance specialists on programs or projects. Conducts program reviews and complex process audits.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
- Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
QualificationsSuccessful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Preferred SkillsAdobe Spark, Apache Hadoop, Big Data, Competitive Advantages, Customer Solutions, Data Warehousing (DW), Design, Enterprise Architecture Framework, Machine Learning (ML), Risk Assessments, Technical Knowledge
CompetenciesAccuracy and Attention to Detail, Analytical Thinking, Emerging Technologies, Influencing, IT Architecture, Process Management, Software Development Life Cycle, Software Product Design/Architecture, Software Quality Assurance And Testing
Work ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
EducationBachelors
CertificationsNo Required Certification(s)
LicensesNo Required License(s)
Pay TransparencyBase Salary: $91,000.00 013 $169,000.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
Application WindowGenerally, this opening is expected to be posted for two business days from 07/17/2026, although it may be longer with business discretion.
BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.
In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.
To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.
