Senior Solution Architect - Data Architecture/Business Architecture
Listed on 2026-03-14
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IT/Tech
Data Engineer
Position Overview
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 Solution Architect Sr within PNC's Technology organization, you will be based in Pittsburgh, PA;
Cleveland, OH;
Birmingham, AL;
Dallas, TX or Lakewood, CO.
Work hours will be typically 8am - 5pm EST. This senior-level position is responsible for Strategy, Architecture, and Innovation, spanning business, application, platform, and data domains. It interacts with senior business and technology leaders, SMEs, and business architecture partners to bridge current state business needs with future state objectives, culminating in technology and data strategies and solution architectures that enable business outcomes and drive transformation.
In this role, you will draw upon deep business, technology, and data architecture experience to partner with key stakeholders and ensure that strategic technology and data perspectives, architectures, artifacts, and roadmaps are well crafted, clearly communicated, and achieve stakeholder consensus. You will be required to understand complex business processes, system interactions, and data flows to develop modern, scalable architectures that support large scale transformation initiatives.
Role
- Develops solution and data architecture and resolves complex issues across a variety of initiatives through requirements analysis, architectural leadership, and project supervision.
- Designs solution architecture for large or complex programs, including system, application, and data designs, in alignment with enterprise strategies, standards, and target state roadmaps.
- Defines and governs data architecture patterns, including logical and physical data models, canonical data structures, data domains, and master/reference data strategies.
- Provides architectural leadership for data platforms and data ecosystems, including data warehousing, data lakes/lake houses, analytical platforms, streaming architectures, and cloud based data services.
- Establishes and enforces best practices for data modeling (conceptual, logical, physical), data integration, data quality, metadata management, lineage, and lifecycle management.
- Partners with business, analytics, and engineering teams to ensure data architectures support reporting, analytics, AI/ML, regulatory, and operational use cases.
- Provides consulting and guidance to IT and data engineering teams on data design, integration patterns, storage technologies, and architectural tradeoffs.
- Develops solutions that account for non functional requirements (e.g., scalability, performance, resiliency, security, privacy, and regulatory compliance) and applies appropriate architectural tactics to meet them.
- Communicates with clients and stakeholders to analyze business requirements, data needs, and processes; produces architecture recommendations that align business, technology, and data strategies.
- Oversees architecture outcomes across initiatives, ensuring solution and data architectures meet functional, non functional, and governance requirements at each phase.
- Collaborates with enterprise data governance and risk partners to ensure architectures align with data governance, security, privacy, and regulatory standards.
- Explores new and emerging technologies and data capabilities (e.g., cloud-native data services, AI/ML platforms, streaming, metadata and governance tooling), developing strategic viewpoints on how they enable business outcomes or introduce disruption.
- Practices strong decision making and critical thinking by fully analyzing complex business, technology, and data related issues and driving productive, well reasoned outcomes.
- Practices enterprise systems thinking, with a broad understanding of application, infrastructure, integration, and data architectures and how they collectively enable business capabilities.
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
Employee Expectations- 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.
Successful candidates must…
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