Data Architect-BigData, Hadoop, Python, Pyspark

Overview

Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are united in delivering the best experience for our customers. We foster an inclusive workplace where all employees feel respected, valued, and have an opportunity to contribute to the company’s success. As a Data Architect within PNC's Data Products Organization, you will be based in Dallas, TX, Pittsburgh, PA, Strongsville, OH, or Birmingham, AL.

R198136

• Responsibilities require time in the office on a weekly basis. Some responsibilities may be performed remotely, at the manager’s discretion.
• Act as an internal consultant for other data engineering and technical teams to enhance and optimize the quality of their code, ensuring adherence to engineering best practices.
• Design, build and test data integration processes between business-critical applications to solve complex problems within financial services.
• Define and implement internal process improvements through the development of detailed analytics that provide actionable insights into key business performance metrics.
• Lead and consult on the implementation and integration of data warehouses; ensure the solution meets organizational quality and integrity standards.

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

• Extensive experience with big data technologies and distributed computing tools (Hadoop, Spark, Hive, Kafka, etc.).
• Strong proficiency in programming languages such as Python, PySpark, Spark, SQL.
• Proficient in containerization (Open Shift, Kubernetes, Docker, etc.).
• Experience with public cloud platforms – Apache Hadoop and AWS (S3).
• Knowledge of Unix/Linux shell scripting.
• Demonstrated data literacy to describe business outcomes, data uses, data sources, and their management concepts at multiple organizational levels.
• Ability to review architecture and identify opportunities for automation, optimization, right-sizing, and cost reduction to support health of the environment.
• Experience designing, building, and testing data integration between business-critical applications to solve complex problems in financial services.
• Strong collaboration and communication skills to work with business and technology teams.

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

• Designs, develops and optimizes data warehouses, with flexible and scalable data and ETL architecture, to support business users and BI applications.
• Analyzes BI data and makes recommendations for data warehouse growth and integration with applications/business functions.
• Works with IT and business customers to capture requirements for designing the data warehouse architecture.
• Provides support and technical guidance to ensure solutions align 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.

• 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 may be considered.
• Education:
  
  Bachelors
• Certifications:
  
  No Required Certification(s)
• Licenses:
  No Required License(s)

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

Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on eligibility, options for full-time employees include: medical/prescription drug coverage, dental and vision options; life insurance; short and long-term disability; 401(k) with PNC match; pension and stock purchase plans; dependent care reimbursement; back-up child/elder care; adoption,…