Enterprise Architect Sr (Enterprise Data Architect Sr)

PNC; Pittsburgh (Allegheny County); On-site; USD 80,000 - 185,150; Full time

Benefits offered by this job

Health, dental, and vision insurance

401(k) with mandatory contributions

Educational assistance

Job summary

PNC is seeking a Senior Enterprise Architect for its Enterprise Data Architecture practice in Pittsburgh. This role involves collaborating with stakeholders to execute data strategies and establish governance models.

The ideal candidate will have 8+ years in enterprise data architecture and a Bachelor’s degree, preferably with advanced qualifications. The base salary ranges from $80,000 to $185,150, with multiple benefits including health coverage and a 401(k) plan.

Qualifications

• TOGAF certification or equivalent enterprise architecture experience.
• 8+ years in enterprise data architecture and related disciplines.
• Experience in large, complex enterprise environments.

Responsibilities

• Build and communicate data strategy.
• Create architecture artifacts for decision-making.
• Produce analysis for technology recommendations.
• Maintain inventory of data models.

Skills

Enterprise systems thinking

Strategic planning

Data lifecycle management

Data security principles

Strong communication skills

Education

Bachelor’s degree

Master’s degree or PhD preferred

Job description

R217380 – Locations: Pittsburgh, PA; Strongsville, OH; Dallas, TX; Phoenix, AZ; Lakewood, CO.

Position Overview

Senior Enterprise Architect – Enterprise Data Architecture practice. Collaborates with data and technology stakeholders to execute PNC’s data strategy, establishing data architecture models, standards, and governance that enable data observability, interchangeability, integrity, confidentiality, and availability.

Key Responsibilities

• Build and communicate data strategy, guiding business and technology leaders to meet data technology needs.
• Create architecture artifacts that demonstrate progress against strategy and provide metrics for decision‑making.
• Develop data reference architectures, define consumption standards and patterns, and document data flows to optimize lineage and retention.
• Produce analysis and supporting artifacts for technology recommendations and architecture patterns that standardize data flows and integration.
• Lead development of data modeling standards, best practices, and guidelines; design entity and flow models for reporting, analytics, and modeling.
• Maintain comprehensive inventory of contextual, conceptual, logical, and physical data models, ensuring compliance with policies and validation checks.
• Oversee metadata, master data, and reference data management; design ontologies and semantic models supporting data mesh, virtualization, and regulatory requirements.
• Collaborate with enterprise and solution architects to implement data observability capabilities and align solution architectures with data standards.
• Champion semantic layers that drive remediation best practices, provide thought leadership, and mentor teams on complex data strategies.
• Measure progress against objectives, enforce best practices, define auditability and traceability standards, and govern enterprise standards for ontology modeling and naming conventions.
• Act as the principal authority for metadata standards, collaborating with Data Owners/Stewards.

Desired Skills and Competencies

• Enterprise systems thinking and capability‑model management.
• Strategic planning with proactive anticipation of stakeholder needs.
• Experience in large strategic transformation programs within financial services, including AI and Cloud technologies.
• Communication, relationship building, collaboration, and influencing.
• Certifications in DCAM, CDMP, DMC, TOGAF, or SAFe (desirable).
• Conceptual, logical, and physical data modeling.
• Data lifecycle management, integration patterns, metadata, lineage, and data quality concepts.
• Data security, privacy, and classification principles.
• Knowledge of master and reference data concepts.
• Ability to influence decisions without direct authority.

Qualifications

• TOGAF certification or equivalent enterprise architecture experience.
• Experience in large, complex enterprise environments.
• Familiarity with both operational and analytical data platforms.
• Hands‑on execution of Data Architecture within a TOGAF or similar framework.
• Strong understanding of baseline/target architecture, gap analysis, and transition planning.
• Experience in formal architecture governance processes.
• Strong written and verbal communication skills.
• Proven ability to translate business needs into data architecture outcomes.

Experience

8+ years in enterprise data architecture and related disciplines. Must hold a university or college degree; advanced degrees (Master’s, PhD) or equivalent certifications and experience are desirable. Military service may be considered as part of the qualification package.

Education

Bachelor’s degree required; Master’s degree or PhD preferred.

Compensation

Base salary range: $80,000.00 – $185,150.00. Incentive compensation based on company, business, and performance metrics.

Benefits

• Health, dental, and vision insurance; Health Savings Account option.
• Life and disability insurance.
• 401(k) with mandatory contribution and mandatory contribution on mandatory compulsory mandatory mandatory mandatory mandatory mandatory mandatory mandatory mandatory /p>?
• Assistance for dependents, maternity/parental leave, paid holidays, vacation, and other time‑off benefits.
• Educational assistance and wellness program.

EEO Statement

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the FDIA, the SAFE Act, and/or FINRA.

Sponsorship and Visas

PNC will not provide sponsorship for employment visas for this position.

California Residents

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