Data Architect (DWH)

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 5 day((s))

Skills

Data Modeling
Python
Kafka
Talend
Data Engineering
data integrations
PySpark
data warehousing
big data tools
data governance
data lineage
data lakes
Metadata management
master data management
hybrid infrastructure
APIs
SQL and NoSQL databases
visualization tools

Job Details

Role: Data Architect
Location: Reading, PA (Hybrid - 3 days a week onsite)
Job Type: Contract
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

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