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Data Architect-BigData, Hadoop, Python, Pyspark

Job in Farmers Branch, Dallas County, Texas, USA
Listing for: PNC
Full Time position
Listed on 2025-12-25
Job specializations:
  • IT/Tech
    Data Engineer
Job Description & How to Apply Below

Data Architect – Big Data, Hadoop, Python, Pyspark

Join to apply for the Data Architect – Big Data, Hadoop, Python, Pyspark role at PNC.

Position Overview

As a Data Architect within PNC's Data Products Organization, you will be based in Dallas, TX, Pittsburgh, PA, Strongsville, OH or Birmingham, AL.

Responsibilities require time in the office on a weekly basis. Some responsibilities may be performed remotely, at the manager’s discretion.

Key Responsibilities
  • Design, develop and optimize data warehouses with flexible and scalable data and ETL architecture to support business users and BI applications.
  • Analyze business intelligence data and make recommendations for data warehouse growth and integration of applications/business functions.
  • Work with IT and business customers to capture requirements for designing the data warehouse architecture.
  • Provide support and technical guidance to ensure solutions are aligned with the architecture and framework.
  • Lead and consult on the implementation and integration of data warehouses; ensure solutions meet organizational quality and integrity standards.
Required Skills
  • Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive, Kafka, etc.)
  • Strong proficiency in relevant programming languages such as Python, PySpark, Spark, SQL
  • Proficient in containerization (Open Shift, Kubernetes, Docker, etc.)
  • Experience with public cloud platforms – Apache Iceberg and AWS S3
  • Knowledge of Unix/Linux shell scripting
  • Proven data literacy skills to describe business outcomes, data uses, data sources, and their management concepts and analytical approaches to all organizational levels in both business and technology.
  • Ability to develop solutions, review architecture and identify areas for automation, optimization, right‑sizing, and cost reduction.
  • Design, build and test data integration processes between business‑critical applications.
  • Define and implement internal process improvements through detailed analytics that provide actionable insights into key business performance metrics.
Qualifications
  • Master’s or Bachelor’s degree in Computer Science, Information Systems, or related field.
  • 5+ years of industry‑relevant experience in data architecture, data warehousing, or a similar role.
  • Strong technical knowledge in enterprise architecture frameworks, machine learning, risk assessments, and database structures.
  • Certifications are not required but may be considered.
Employee Expectations
  • Customer focused – align customer needs and satisfaction as primary considerations.
  • Managing risk – assess and manage risks associated with business objectives to support PNC’s Enterprise Risk Management Framework.
Benefits

PNC offers a comprehensive range of benefits including health, dental & vision coverage, life insurance, short‑ and long‑term disability, 401(k) with match, pension, stock purchase plans, dependent care reimbursement, educational assistance, wellness program, paid time off, and more.

Equal Employment 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 federal regulatory requirements and screening for individuals with certain criminal history.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at  (include “accommodation request,” your name, the job , and preferred contact method). Applicants may also call 877‑968‑7762 and say "Workday" for accommodation assistance.

Application Window

Position open for two business days from August 19, 2025.

Seniority Level

Not Applicable

Employment Type

Full‑time

Job Function

Information Technology

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