
Data Architect-BigData, Hadoop, Python, Pyspark
- Dallas, TX
- $102,000-158,700 per year
- Permanent
- Full-time
Responsibilities require time in the office on a weekly basis. Some responsibilities may be performed remotely, at the manager’s discretion.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Needed skills:
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 (OpenShift, Kubernetes, Docker, etc.)
- Experience with public cloud platforms – Apache Ice-burg and AWS - S3
- Knowledge of Unix/Linux shell scriptingAct 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.
- 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.
- Demonstrate initiative to develop approaches to solutions as part of a team; Review architecture and identify areas for automation, optimization, right-sizing, and cost reduction to support health of the environment.
- 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 metricsJob 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.
- 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.