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. The role supports analytical, operational, and digital capabilities across the organization by establishing architectural direction, defining or adhering to target-state data platforms, and guiding implementation of modern data ecosystems. The architect partners with engineering, enterprise architecture, application development, and business stakeholders to ensure data solutions are scalable, secure, governed, and aligned with long-term strategic objectives. The position calls for deep expertise in distributed data platforms, large-scale data processing, and modern data architecture patterns, including experience leading technology modernization and defining reference architectures for enterprise data environments. The role also designs, develops, and optimizes complex data warehouses and 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, and provides technical guidance to align frameworks with BI needs. It leads and consults on data warehouse implementation and integration, ensuring data is current and meets organizational quality and integrity standards. This is an in-office position based in Cleveland, Ohio, or Pittsburgh, Pennsylvania. PNC does not provide employment visa sponsorship or participate in STEM OPT for this position. The role is incentive eligible, with payment based on company, business, and/or individual performance.
Requirements
- Industry-relevant experience is typically 8 or more years.
- A bachelor's degree is required; a comparable combination of education, job-specific certifications, and experience, including military service, may be considered in lieu of a degree.
- Knowledge, skills, and abilities appropriate to the role.
- 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.
- Preferred skills include business intelligence (BI), cloud computing, database design, data governance, data integration, data migrations, data modeling, data warehousing, solution architecture, and SQL.
- Relevant competencies include consulting, data architecture, database structures, data warehousing, IT architecture, logical data modeling, organizational leadership, problem solving, and requirements analysis.
Nice To Haves
- A master's degree, PhD, or certifications is desirable.
- Experience with modern lakehouse and open-data architectures, Hadoop environment migration, and enterprise data platform modernization.
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 that align 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 data warehouses and 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 ensure architecture and frameworks meet 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 practices by prioritizing customer needs and satisfaction in business decisions and customer solutions.
Benefits
- Medical and prescription drug coverage, including 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 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, depending on eligibility.
- Up to 11 paid holidays each year, depending on eligibility.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
