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PNC Bank

Data Architect (Hadoop/ML/AI/ETL)

Posted 11 Days Ago
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Hybrid
Pittsburgh, PA
91K-203K Annually
Senior level
Hybrid
Pittsburgh, PA
91K-203K Annually
Senior level
Designs and governs enterprise data architecture for on-premises warehouses, Hadoop, lakehouse, and graph environments. Leads data movement controls, reconciliation, orchestration, catalog governance, query federation, lineage, security, and auditability. Partners with business and technology leaders on requirements, roadmaps, design approvals, proofs of concept, compliance, and modernization. Requires expertise in data modeling, ETL/ELT, distributed systems, Hadoop, data warehousing, and enterprise architecture.
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Job Profile

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Architect within PNC's Data And Automation 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.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

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

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

Work ExperienceRoles 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.

EducationBachelors

CertificationsNo Required Certification(s)

LicensesNo 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.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at [email protected]. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses.  Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace.  We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

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 Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

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