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Enterprise Architect; Enterprise Data Archtiect

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: PNC Financial Services Group, Inc.
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing, Data Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Enterprise Architect (Enterprise Data Archtiect)

Position Overview

As an Enterprise Architect within PNC's Enterprise Technology Architecture organization, you will collaborate with key data and technology stakeholders to build out the enterprise data architecture practice. The role helps execute PNC’s data strategy by establishing data architecture models and standards that enable data observability, interchangeability, confidentiality, and availability. This staff-level role requires creative-thinking and hands-on expertise to guide teams in building semantic and object standards that form the foundation for data taxonomies, data models, data flows, lineage diagrams, and entity-relation models.

Key

Deliverables
  • Strategy: Create usable architecture artifacts that demonstrate progress against a strategy; measure progress against strategic data objectives and produce results analysis; articulate the business impact of complex data flows and data duplication decisions.
  • Architecture: Identify and document data flows that form the basis for optimizing data lineage and retention; produce data architecture analysis with supporting artifacts for technology recommendations; develop architecture patterns that drive common data flows and standardized integration.
  • Modeling: Design data entity and flow models that enable operational reporting, analytics, and modeling; lead the development, standardization, and evolution of canonical and conceptual data models; ensure data models comply with data architecture policies and standards with validation checks.
  • Classification: Design ontologies and semantic models to drive the adoption of data mesh and virtualization; drive alignment of data ontologies and data semantics that support regulatory requirements; serve as the principal authority for metadata standards while collaborating with data owners and stewards.
  • Collaboration: Work with enterprise and solution architects to implement data observability capabilities; work closely with data architects and guide how data products align to the data standards; partner with architecture teams to align solution architectures with data architecture standards.
  • Governance: Ensure adherence to best practices, data principles, and semantic data governance; establish and govern enterprise standards for ontology modeling and naming conventions; define auditability and traceability standards for financial and operational data with metrics.
Desired Skills
  • Enterprise systems thinking and broad understanding of managing to a capability model.
  • Experience working in financial services organizations with AI and cloud technologies.
  • Strong personal skills: communication, relationship building, collaboration, influencing.
  • Certifications in DCAM, CDMP, DMC, TOGAF, or SAFe are desirable but not required.
Qualifications
  • TOGAF certification or equivalent enterprise architecture experience.
  • Experience in large, complex enterprise environments.
  • Familiarity with both operational and analytical data platforms.
  • Hands-on experience executing data architecture within a TOGAF or TOGAF-like framework.
  • Strong understanding of baseline/target architecture, gap analysis, and transition planning.
  • Experience working within formal architecture governance processes.
  • Ability to translate business needs into data architecture outcomes.
  • Strong written and verbal communication skills.
  • Proven ability to influence decisions without direct authority.
Competencies
  • Conceptual, logical, and physical data modeling.
  • Data lifecycle management and data integration patterns.
  • Metadata, lineage, and data quality concepts.
  • Data security, privacy, and classification principles.
  • Master and reference data concepts.
Performance Measures
  • Quality, clarity, and usability of data architecture deliverables.
  • Alignment of solutions to approved data architecture.
  • Effectiveness of collaboration with architecture and delivery teams.
  • Ability to support business outcomes through data architecture decisions.
Benefits
  • Medical, prescription drug, dental, and vision coverage;
    Health Savings Account.
  • Life, short-term, and long-term disability insurance.
  • 401(k) with PNC match, pension, and stock purchase plans.
  • Dependent care reimbursement, child/elder care, adoption,…
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