Data Architect || Reading, PA (Hybrid, 3 days onsite - Locals only) || Must have Linkedin and 14+ years of exp.||

Overview

On Site
Up to $73
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Data Engineering
Data Modeling
Data Warehousing
Master Data Management
Reference Data Management
Data Lineage
Data Governance
Data & Analytics
Agile
Data Engineering/Big data
Python
Pyspark
Kafka
APIs
Talend and BODS
SQL
NoSQL
Datamart
Erwin
ER Studio
QlikView
Qlik Sense
Tableau

Job Details

Data Architect

Reading, PA (Hybrid, 3 days onsite - Locals only)

Must have Linkedin and 14+ years of exp.

Job Summary:

  • 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 Datamart
  • 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 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

Thanks,

KK

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