Data Architect Senior - Data Products (SQL, Hadoop, Data Modeling)

PNC Bank•Strongsville, OH

21h•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. As a Data Architect Senior within PNC's Technology organization, you will be based in Strongsville, OH, Birmingham-AL, Pittburgh-PA or Dallas-TX. Responsibilities include: Technical authority for enterprise data, partnering with engineering, architecture, and business teams to design, govern, and operationalize trusted data assets. This role applies deep expertise in data architecture, metadata management, lineage, and data quality controls to ensure consistency, regulatory alignment, and scalability across platforms, enabling advanced analytics, reporting, and risk aware decision making.

Requirements

Enterprise data architecture (relational and NoSQL)
Data governance, metadata management, lineage, and quality frameworks
SQL and data analysis across large, complex datasets
Analytics and reporting platforms (e.g., BI tools, data warehouses, data lakes)
Data integration and ETL/ELT patterns
Regulatory, risk, and financial data concepts (e.g., controls, traceability, auditability)
Strong partnership skills with technology, risk, and business stakeholders
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.

Nice To Haves

Big Data Hadoop
Competitive Advantages
Customer Solutions
Data Modeling
Design
Enterprise Architecture Framework
Machine Learning (ML)
Risk Assessments
Structured Query Language (SQL)
Tableau (Software)
Technical Knowledge
Consulting
Data Architecture
Database Structures
Data Warehousing
IT Architecture
Logical Data Modeling
Organizational Leadership
Problem Solving
Requirements Analysis

Responsibilities

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.

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