PNC Data Architect Senior 

United States, Alabama, Birmingham 

554940649

This role will have:
• Experience designing data streaming applications, particularly with Kafka, is a significant plus. This includes designing Kafka Streams pipelines, creating Avro data schemas, and using Kafka connectors.
• Experience desired with data reconciliation, building checks and balances, and designing data correction strategies.
• Experience with the BIAN service model is a plus.Job Description

• 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.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and requiredneeded to be successful in this position.

Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning, Risk Assessments, Technical KnowledgeConsulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements AnalysisRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.No Required Certification(s)No Required License(s)
California Residents

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