Oracle Database Administrator/MongoDB

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.

As a Data Engineer within PNC's Technology organization, you will be based in Dallas, TX, Pittsburgh, PA, Cleveland, OH, Birmingham, AL or Denver, CO.

Key Responsibilities Serve as the functional DBA for Oracle and MongoDB across production and non-production environments. Partner with application teams on schema design, data modeling, and query optimization. Analyze and resolve database-related functional issues, performance bottlenecks, and data anomalies.

Support release activities by validating database changes, scripts, and backward compatibility. Provide guidance on transaction management, indexing strategy, and data access patterns. Ensure data consistency, integrity, and correctness across applications and integrations.

Review and approve database changes for functional risk and impact. Assist incident response by diagnosing database behavior and data-related failures. Maintain functional documentation, standards, and runbooks for database usage.

Strong functional expertise in Oracle SQL, PL/SQL, and query tuning. Working knowledge of MongoDB data models, indexing, and query performance. Clear understanding of RDBMS vs NoSQL tradeoffs and use cases.

Ability to translate business and application requirements into efficient database designs. Experience supporting enterprise-scale, data-intensive applications. Operating Style

Analytical, detail-oriented, and risk-aware. Strong collaboration with engineering, QA, and support teams. Focused on prevention, clarity, and sustainable data solutions.

- Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions. - Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development. - Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow. - Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability. - Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions.

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)

Competencies Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle

Work Experience Roles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Generally, this opening is expected to be posted for two business days from 05/01/2026, although it may be longer with business discretion.