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 Senior Data Engineer within PNC's Lending Tech organization, you will be based in Miamisburg, OH, Pittsburgh, PA, Dallas, TX, Birmingham, AL, or Strongsville, OH. We are building and operating an enterprise-scale, high-volume transactional database that supports all lending payment transactions end-to-end. This role designs, builds, and maintains highly available, performant, and secure data stores and data movement patterns across MySQL and Oracle platforms, partnering closely with application engineering, SRE/operations, and security teams. You will be accountable for database architecture and implementation decisions that directly impact transaction integrity, latency, resiliency, and operational excellence. Level (Senior vs Lead) is determined by depth of scope and leadership impact (see Level differentiation). What you’ll do (core responsibilities) Architecture & Design Design and evolve an enterprise transactional data model for lending payment processing (OLTP), including schemas, constraints, indexing strategies, partitioning, and retention/archival patterns. Define database standards for reliability, scalability, performance, and resiliency across MySQL and Oracle. Build & Operate (Production Ownership) Implement and operate high availability and disaster recovery patterns; validate operational readiness (failover/failback, replication health, recovery objectives). Drive performance engineering: query tuning, index strategy, execution plan analysis, contention/locking analysis, and workload management. Implement automation for database operations (provisioning support, patch readiness support, backup validation, health checks, and runbook-driven execution). Data Movement & Replication Design and support replication/data movement strategies as needed for resiliency and/or cross-site requirements (preferred Oracle skills include Golden Gate and Data Guard). Security & Compliance Partner with security to enforce encryption-in-transit/at-rest, least privilege, auditing, secrets management integration, and vulnerability remediation for database platforms. Cross-team Collaboration Work closely with application teams on schema evolution, release coordination, and safe migration approaches (including MySQL ↔ Oracle considerations). Produce durable documentation: architecture diagrams, decision records, runbooks, and operational validation checklists. Job Description 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. 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.
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Job Type
Full-time
Career Level
Mid Level