Penske Data Architect

Reading Pennsylvania HYBRID onsite (minimum 3 days)

Architect - Data

Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta Data Management experience required

experience in defining Data & Analytics architecture implementing multiple large volume projects across on Prem and on cloud environments. Preferably AWS cloud.

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
• Be the primary contact and technical lead for multiple critical programs and integrations and resolve customer issues in a timely man