Overview
Skills
Job Details
Hybrid Onsite from Reading, PA
Solution Architect Data
14+ years of experience in IT
12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance, and Metadata Management experience required
10+ years of experience in defining Data & Analytics architecture, implementing multiple large-volume projects across on-prem and cloud environments (preferably AWS)
7+ years of experience collaborating with Agile teams preferred
Expertise in designing, validating, and implementing multiple projects across hybrid infrastructure (on-cloud to on-premises and vice versa)
Expertise in setting up Data Lakes and analytical environments
Expertise with Data Engineering/Big Data tools such as Python, PySpark, Kafka, APIs, Talend, and BODS
Expertise with relational SQL and NoSQL databases
Experience in building data pipelines, data ingestions, data integrations, data preparations, and traditional Data Warehouses and Datamarts
Experience in building processes supporting data transformation, data structures, metadata, dependency, and workload management
Strong experience with data modeling techniques utilizing tools such as Erwin, ER/Studio, etc.
Experience with visualization tools such as QlikView, Qlik Sense, Tableau, etc.
Experience in message queuing, stream processing, and highly scalable big data data stores
Meet with Senior & Mid-Level Management to align business process initiatives and strategies with current and planned Penske Data Engineering & Analytics Architecture
Evaluate Data Engineering & Analytics Tools/Techniques/Approaches and determine impact on strategic objectives and manage overall implementation
Be the primary contact and technical lead for multiple critical programs and integrations, and resolve customer issues in a timely manner