Role: Data Architect Location: Reading, PA (Hybrid - 3 days a week onsite) Job Type: Contract Job Description • 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 Meta Data Management experience required • 10+ years of experience in defining Data & Analytics architecture implementing multiple large volume projects across on Prem and on cloud environments. Preferably AWS cloud. • 7+ years of experience collaborating with Agile teams preferred • Expertise in designing, validating, and implementing multiple projects across the 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, API’s, Talend and BODS, etc. • 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 modelling 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