Data Architect Senior--Asset Management Group (AMG)
About The Position
PNC is seeking a Senior Data Architect within its Technology organization to define, govern, and evolve the Asset Management Group (AMG) domain data architecture for analytical, operational, and digital capabilities. The role establishes architectural direction and target-state data platforms, and guides implementation of modern data ecosystems that support data-driven business capabilities. The architect partners with engineering teams, enterprise architecture, application development, and business stakeholders to ensure solutions are scalable, secure, governed, and aligned with long-term strategy. The position is based in Cleveland, Ohio, or Pittsburgh, Pennsylvania, and PNC describes itself as an in-office company. The position designs, develops, and optimizes complex, specialized data warehouses with flexible, scalable data and ETL architecture for business users and BI applications. It analyzes business intelligence data and recommends data warehouse growth and integration; works with IT and business customers to develop architecture requirements; provides technical guidance to align architecture and frameworks with BI needs; and leads or consults on data warehouse implementation and integration, ensuring data is current and meets organizational quality and integrity standards. The successful candidate brings deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns, as well as experience leading technology modernization and defining reference architectures for enterprise data environments. PNC does not provide employment visa sponsorship or participate in STEM OPT for this position.
Requirements
- Typically, a university or college degree is required; a comparable combination of education, job-specific certifications, and experience, including military service, may be considered in lieu of a degree.
- Typically, 8 or more years of industry-relevant experience.
- Bachelor's degree listed in the Education section.
- Demonstrated appropriate knowledge, skills, and abilities for the role.
- No required certifications are listed.
- No required licenses are listed.
- No required or preferred language assessments are listed.
Nice To Haves
- Higher-level education such as a master's degree or PhD, or certifications, is desirable.
- Preferred skills include Business Intelligence (BI), Cloud Computing, Database Design, Data Governance, Data Integration, Data Migrations, Data Modeling, Data Warehousing (DW), Solution Architecture, and Structured Query Language (SQL).
- Competencies include Consulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, and Requirements Analysis.
- Deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns.
- Experience leading technology modernization initiatives and defining reference architectures for enterprise data environments.
Responsibilities
- Define and maintain target-state architecture for domain analytical and operational data platforms.
- Lead architecture efforts to evolve legacy data platforms toward modern lakehouse and open-data architectures.
- Define migration strategies for existing Hadoop-based analytical environments and data workloads.
- Evaluate emerging technologies and industry trends to improve scalability, interoperability, operational efficiency, and long-term sustainability.
- Drive adoption of modern data management practices, storage architectures, metadata strategies, and platform operating models.
- Help develop architecture roadmaps aligning business priorities, technology strategy, and data modernization initiatives.
- Provide architectural leadership for initiatives involving analytics, operational intelligence, AI/ML, digital applications, and enterprise integration.
- Conduct architecture reviews and guide delivery teams throughout the solution lifecycle.
- Collaborate with Enterprise Architecture to align data solutions with broader technology strategies.
- Mentor engineers, solution architects, and development teams on data architecture best practices.
- Design, develop, and optimize complex specialized data warehouses and flexible, scalable data and ETL architecture for business users and BI applications.
- Analyze business intelligence data and recommend data warehouse growth and enterprise integration.
- Work with IT and business customers to develop requirements for overall data warehouse architecture.
- Provide technical guidance to align architecture and frameworks with BI application needs.
- Lead and consult on data warehouse implementation and integration, ensuring data is current and meets organizational quality and integrity standards.
- Assess and manage risks associated with business objectives and activities in accordance with PNC's Enterprise Risk Management Framework.
- Apply customer-focused knowledge and practices in business decisions and customer solutions.
Benefits
- Medical and 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 plan
- Stock purchase plan
- Dependent care reimbursement account
- Back-up child and elder care
- Adoption, surrogacy, and doula reimbursement
- Educational assistance, including select fully paid programs
- 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
- 15 to 25 vacation days each year, depending on career level and years of service
- Incentive-eligible compensation based on company, business, and/or individual performance
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What This Job Offers
Job Type
Full-time
Career Level
Senior
