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PNC is seeking a Senior Data Architect in the Technology organization, based in Cleveland, OH or Pittsburgh, PA, to define, govern and evolve the AMG domain data architecture across analytical and operational data platforms.
The role requires leading data modernization efforts, migrating from Hadoop to modern lakehouse architectures, and collaborating with engineering, EA, and business stakeholders to ensure scalable, governed solutions aligned with long-term strategy.
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 an Data Architect Senior within PNC's Technology organization, you will be based in Cleveland, OH or Pittsburgh, PA.
We are seeking a Senior Data Architect to define, govern, and evolve the Asset Management Group (AMG) domain data architecture supporting analytical, operational, and digital capabilities across the organization.
This role is responsible for establishing architectural direction, defining, or adhering to target-state data platforms, and guiding the implementation of modern data ecosystems that enable data-driven business capabilities.
The architect will partner with engineering teams, enterprise architecture, application development, and business stakeholders to ensure that data solutions are scalable, secure, governed, and aligned with long-term strategic objectives.
The ideal candidate possesses deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns, with experience leading technology modernization initiatives and defining reference architectures for enterprise data environments.
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.
Designs, develops and optimizes highly complex, specialized data warehouses, with flexible and scalable data and ETL architecture, to support business users and Business Intelligence (BI) applications.
Analyzes business intelligence data and makes recommendations for data warehouse growth and integration for the enterprise.
Works with IT and business customers to develop requirements for designing the overall data warehouse architecture.
Provides support and technical guidance to ensure architecture and framework are aligned with BI application needs. .
Leads and consults on the implementation and integration of data warehouses; ensures data is current and meets organizational quality and integrity standards.
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.
Successful 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.
Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning (ML), Risk Assessments, Technical Knowledge
Consulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis
Roles at this level typically require