Job Opening - Data Architect @ Reading PA (Onsite) - 14+ Years Needed

  • Reading, PA
  • Posted 8 hours ago | Updated 8 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Data warehousing
data warehouse
data modeling
aws
agile
Python
Kafka

Job Details

Hi,


We have an opening for the position below. If you are interested in this opportunity kindly share your updated resume with details.

Role : Data Architect

Location : Reading PA (Onsite)

  • 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

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