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PNC · 5 hours ago

Data Architect-BigData, Hadoop, Python, Pyspark

Farmers Branch, TX

Full-time

Hybrid

Mid, Senior Level

$102K/yr - $159K/yr

5+ years exp

PNC is a company that values its employees and aims to deliver the best experience for its customers. They are seeking a Data Architect to join their Data Products Organization, responsible for designing and optimizing data warehouses and providing technical guidance to ensure solutions align with organizational standards.

BankingFinanceFinancial Services

No H1B

Responsibilities

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

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 metrics

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

Qualification

Big Data TechnologiesPythonPySparkContainerizationCloud PlatformsUnix/Linux ScriptingData LiteracyConsultingOrganizational LeadershipProblem Solving

Required

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 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

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

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

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

Bachelors