AWS Data Solution Architect

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

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