Senior Data Architect

DATA SOLUTION ARCHITECT Location: Reading, PA - Must be onsite 2-3 days per week 6+ months contract Pay rate: Market/DOE Client: Transportation Job Duties: • Technical Leader on the Data engineering team, defining IT Process and Technology strategies, familiarity with emerging technology trends, defining a roadmap and building consensus with Senior IT Leadership • Help drive innovation by staying current with rapidly developing Data Engineering landscape and share knowledge internally and with customers • Define and maintain data engineering strategy & roadmap, build consensus with Senior IT Leadership • 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 Minimum Skills Required: • 14+ years of overall technology experience required • 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 • 7+ years of experience in defining Data & Analytics architecture implementing multiple large volume projects across onprem and oncloud environments. Preferably AWS. • 5+ 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 tools such as Talend, BODS, Python, PySpark,Kafka,d API’s 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 • Experience with big data tools such as Kafka • Strong analytic skills related to working with complex datasets • Expert knowledge of appropriate design frameworks and patterns and experience in implementing them • Ability to consistently develop knowledge of industry wide technology strategies and best practices • Able to communicate highly technical concepts in clear/concise manner to non-technical individuals • Experience prioritizing technology needs within set budget requirements • Excellent interpersonal and decision-making skills"