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About the Role

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 clusters.

Responsibilities

Architect automated, enterprise-wide data validation mechanisms across internal networks.
Define standards bridging enterprise job scheduling with programmatic DAG orchestration.
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.
Implement and tune Trino across local bare-metal or private Kubernetes clusters to federate SQL queries seamlessly across relational databases, Hadoop and Iceberg storage.
Architect property or RDF graph database integrations to capture complex entity relationships, data lineage, and semantic ontologies.
Maintain complete operational metadata, structural tracking, and end-to-end data lineage across all internal data movement paths for strict regulatory compliance.
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.
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.

Requirements

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.
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.
Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience.
In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Skills

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
Competitive Advantages
Customer Solutions
Python (Programming Language)
Apache Airflow
Apache Iceberg
Apache Polaris
Control-M
Graph DB
Hadoop
Hive
Kerberos
RDF
Spark
Trino
YARN

Location

Pittsburgh, PA
Strongsville, OH
Dallas, TX

Work Type

On-premises
In-office

Experience Level

5+ years of industry-relevant experience

Education Level

Bachelors

Salary/Compensations

$91,000.00 – $202,800.00

Benefits

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
Maternity and/or parental leave
Up to 11 paid holidays each year
9 occasional absence days each year
Between 15 to 25 vacation days each year, depending on career level and years of service

About the Company

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.
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused, Managing Risk.

Equal Opportunity

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.
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.