Data Warehousing

PNC•Strongsville, OH

1d•$91,000 - $169,000•Onsite

About The Position

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. We are seeking an experienced Quality Engineer Principal 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.

Requirements

Extensive experience in Quality Assurance, Test Architecture, or Quality Engineering roles.
Strong knowledge of SDLC and STLC methodologies across enterprise application environments.
Proven experience leading teams of 3–5 members in onsite-offshore delivery models.
Strong hands-on development and automation experience using Python.
Experience testing and validating solutions built on Big Data/Hadoop ecosystems.
Strong expertise in Data Warehouse and ETL testing.
Experience working with Apache Spark and PySpark environments.
Proficiency in HQL and SQL for complex data validation and analysis.
Experience working with AWS or other cloud platforms.
Knowledge of CI/CD pipelines and modern test automation frameworks.
Strong analytical, problem-solving, and communication skills.
Roles 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.

Nice To Haves

Experience with Hadoop ecosystem tools such as Hive, HDFS, YARN, and related technologies.
Exposure to data quality frameworks and metadata validation tools.
Experience with performance and scalability testing for distributed data platforms.
Knowledge of Agile, DevOps, and Continuous Testing practices.
Familiarity with data governance, data lineage, and compliance controls.
Relevant QA, Cloud, or Big Data certifications are a plus.

Responsibilities

Define and implement QA architecture, test strategies, and quality frameworks for Big Data, Hadoop, and Data Warehouse applications.
Establish best practices across the Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
Lead a team of 3–5 QA engineers, providing technical guidance, mentoring, and performance oversight.
Coordinate delivery across onsite and offshore teams, ensuring effective communication, planning, and execution.
Design and implement scalable test automation solutions for data ingestion, transformation, processing, and reporting systems.
Develop and maintain automated validation frameworks using Python and related technologies.
Collaborate with Architects, Product Owners, Developers, Data Engineers, and Business stakeholders to ensure high-quality releases.
Create test strategies covering functional, integration, regression, performance, ETL, data validation, and end-to-end testing.
Validate data pipelines and large datasets across Hadoop, Spark, Data Warehouse, and Cloud platforms.
Perform root cause analysis of defects and drive continuous quality improvements.
Define quality metrics, reporting mechanisms, and release readiness criteria.
Support Agile, Scrum, and DevOps practices with a quality-first mindset.
Drives the development of test strategies and plans, ensuring alignment with enterprise-level objectives and delivery timelines.
Escalates systemic issues to Quality Engineer leadership and influences resolution strategies.
Oversees risk and defect processes, ensuring adherence to ECO standards. Provides detailed insights through accurate and timely reporting.
Leads preparation and delivery of test summary reports and documentation for Technology leaders, Governance/Risk teams, and business stakeholders.
Collaborates across teams and participates in Quality Engineer CoP meetings to support continuous improvement and knowledge sharing.
Provides strategic mentorship and oversight to more junior Quality Engineer team members, ensuring consistent execution of testing standards.

Benefits

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
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