Position Overview

As a Data Architect within PNC's DNA Enterprise Warehouse organization, you will be based in Pittsburgh, PA or Strongsville, OH or Dallas, TX.

We are seeking an experienced Data Architect to lead the architecture, and control frameworks for D&A technology, on-premises data ecosystem. In this role, you will design robust data movement controls, reconciliation pipelines, and semantic abstraction layers that connect high-throughput relational data warehouses, legacy Hadoop infrastructure, and modern on-premises Lakehouse environments.

You will be responsible for defining standards that guarantee high availability, strict enterprise security, and accurate, audited data movement across networks and private storage cluster.

Key Responsibilities
1.On-Premises Data Movement & Control Architecture
1.Control & Reconciliation frameworks: Architect automated, enterprise-wide data validation mechanisms (source-to-target row count verification, checksum validation, automated threshold alerting and schema evolution tracking) across internal networks.
2.Dual-Orchestration Operations: Define standards bridging enterprise job scheduling (Control-M for batch/legacy workflows) with programmatic DAG orchestration (Apache Airflow deployed on-perm).
2.Lakehouse, Catalog & Graph Architecture
1.Rest Catalog Governance (Apache Polaris): Architect and maintain Apache Polaris as the centralized, open-source REST catalog for Apache Iceberg tables. Enforce multi-engine catalog governance, role-based access control (RBAC), and credential scoping across engines.
2.Query Federation (Trino): Implement and tune Trino across local bare-metal or private Kubernetes clusters to federate SQL queries seamlessly across relational databases, Hadoop and Iceberg storage.
3.Graph Databases & Knowledge Graphs: Architect property or RDF graph database integrations (Graph DB) to capture complex entity relationships, data lineage, and semantic ontologies.
3.Auditability & Lineage: Maintain complete operational metadata, structural tracking, and end-to-end data lineage across all internal data movement paths for strict regulatory compliance.
• Experience in data architecture and enterprise data management within large-scale, on-premises data center environments.
• Proven track record designing enterprise-grade data control frameworks, reconciliation patterns, audit mechanisms, and schema evolution strategies for high-throughput environments.
• Deep conceptual and architectural understanding of on-premises Hadoop ecosystems (HDFS, YARN, Hive, Spark, Kerberos) and strategies for modernizing legacy workloads.

Preferred Qualifications
1.Agentic AI Strategy in Data Management: Exposure to or conceptual understanding of Agentic AI frameworks- specifically how autonomous agents can be leveraged for automated pipeline observability, intelligent metadata tagging, self-healing quality checks, and context-aware schema drift mitigation.
2.In this position, you will:
• Provide thought leadership for the control architecture evolution within the DnA Data Ops ecosystem.
• Work with Architectural Leadership to drive out the strategic roadmap for all applications and ensure appropriate architectural and technical items are suitably prioritized.
• Work with Product Owners to ensure prioritization and delivery of business priorities in a timely manner via the monthly releases.
• participate in business requirements gathering sessions and understand client requirements.
• Create, present, and get signoffs for design documents.
• Support the enterprise architecture and perform proof of concepts for several new requirements to find innovative ways to enhance current architecture.
• Be responsible for compliance to all architecture and technology standards and handle any exceptions and vulnerabilities.
• Well-versed in new technologies to keep current architecture moving forward while maintaining the integrity of enterprise architectures.

The ideal candidate for this position should have:
• Experience in architecture and operating mission critical, high volume, low latency services.
• Experience in governance, implementation of and or use of Analytic Data and software to do analysis and/or advanced analytics and visualization
• Engagement with multiple teams and coordination of multiple requirements that have similar needs, prioritizing based on business value
• Implementation & Governance of Business Data Architecture Standards
• Collaboration with Enterprise Architecture and Technology partners to generate business requirements in strategic business solution architecture with technology solution architecture
• Experienced with architecting high-performance application data services against data stores with very large amounts of data.
• Experience with Hadoop, Data Modeling, ETL/ELT, APIs
• Experience with distributed computer solutions
• Strong written and verbal communicator with the ability to translate complex technical information for senior management and product team.
• Experience providing technical thought leadership across an organization.

Skills/Competencies required: Data Modeling, Design, Enterprise Architecture Framework, Governance Management, Machine Learning (ML), Risk Assessments, HDFS, Structured Query Language (SQL), Team Management, Technical Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

• Designs, develops and optimizes 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 an application/business function.
• Works with IT and business customers to capture requirements for designing the data warehouse architecture.
• Provides support and technical guidance to ensure the solutions are aligned with the architecture and framework.
• Leads and consults on the implementation and integration of data warehouses; ensures the solution meets organizational quality and integrity standards.

Qualifications

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

Preferred Skills
Competitive Advantages, Customer Solutions, Design, Enterprise Architecture Framework, Machine Learning (ML), Python (Programming Language), Risk Assessments, Technical Knowledge

Competencies
Consulting, Data Architecture, Database Structures, Data Warehousing, IT Architecture, Logical Data Modeling, Organizational Leadership, Problem Solving, Requirements Analysis

Work Experience
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. 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.

Education
Bachelors

Certifications
No Required Certification(s)

Licenses
No Required License(s)

Language Assessments

No Required or Preferred Language Assessments

Pay Transparency

Base Salary: $91,000.00 - $202,800.00

Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window

Generally, this opening is expected to be posted for two business days from 09/10/2026, although it may be longer with business discretion.

Benefits

PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/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 and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.