Data Architect W Full time Job in Dallas, TX United States | Snaprecruit

Data Architect W Full time Job in Dallas, TX United States | Snaprecruit
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Data Architect W

In Texas United States

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Data Architect W   

JOB TITLE:

Data Architect W

JOB TYPE:

Full-time

JOB LOCATION:

Dallas Texas United States

JOB DESCRIPTION:

Role: Data Architect & Data Quality

Location: Oakland, CA

Job Type: Contract – W2

Duration: 12+ months

CA Local Preferred

 

Required Experience:

  • Minimum of three (3) years of project experience with organizational data strategy, including data quality standards, the flow of data within the organization, and data security.
  • Minimum of three (3) years of experience with data model designs, database development standards, and implementation/management of data warehouses and data analytics systems.
  • Minimum of three (3) years of project experience conducting continuous audits of data management system performance
  • Good understanding of data quality dimensions, data quality management and reporting process.
  • Understanding of approaches that can be adopted to detect, correct and prevent poor data quality.

Position Details

POSTED:

Nov 29, 2023

EMPLOYMENT:

Full-time

SNAPRECRUIT ID:

SOOJ - 1604-11142023-39161156

LOCATION:

Texas United States

CITY:

Dallas

Job Origin:

OORWIN_ORGANIC_FEED

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Role: Data Architect & Data Quality

Location: Oakland, CA

Job Type: Contract – W2

Duration: 12+ months

CA Local Preferred

 

Required Experience:

  • Minimum of three (3) years of project experience with organizational data strategy, including data quality standards, the flow of data within the organization, and data security.
  • Minimum of three (3) years of experience with data model designs, database development standards, and implementation/management of data warehouses and data analytics systems.
  • Minimum of three (3) years of project experience conducting continuous audits of data management system performance
  • Good understanding of data quality dimensions, data quality management and reporting process.
  • Understanding of approaches that can be adopted to detect, correct and prevent poor data quality.

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