Data Architect - Data and Automation; Teradata, SQL, Hadoop, Iceberg

Position: Data Architect - Data and Automation (Teradata, SQL, Hadoop, Iceberg)
** 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 Data Architect within PNC's Data and Automation organization, you will be based in Pittsburgh-PA, Strongsville-OH, Birmingham-AL, Dallas-TX, Denver-CO or Phoenix-AZ.

- Administer and support enterprise Teradata database environments, ensuring high availability, performance, security, and reliability for critical business applications and data warehouse solutions.

- Monitor database health, troubleshoot production incidents, optimize SQL performance, and resolve data and application issues to meet establish service level agreements (SLA).

- Support ETL and batch processing by managing Teradata utilities, analyzing job failures, and collaborating with application development and infrastructure teams to ensure successful data processing

- Implement database changes, manage user access and security, perform performance tuning, and maintain database objects in accordance with change management and operational best practices.

- Partner with cross functional teams to identify opportunities for process improvement, automate routine administrative tasks leveraging AI agent, and provide technical guidance to enhance database performance and operational efficiency.

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.

** Job Description*
* + Designs, develops and optimizes 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 an application/business function.

+ Works with IT and business customers to capture requirements for designing the data warehouse architecture.

+ Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework.

+ Leads and consults on the implementation and integration of data warehouses; ensures the solution 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:

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** 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.

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** 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.

** Qualifications*
* 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.

** Preferred Skills*
* Apache Hadoop, Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning (ML), Risk Assessments, Structured Query Language (SQL), Technical Knowledge, Teradata ETL

** Competencies*
* Consulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis

** Work Experience*
* Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience…