Senior Data Architect at SAIC
El Paso, TX 79925, USA -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

160000.0

Posted On

20 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Job ID: 2508820-2946
Location: REMOTE WORK, TX, US
Date Posted: 2025-08-18
Category: Information Technology
Subcategory: Enterprise Architect
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: Yes
Description
SAIC is currently seeking a motivated, career and customer-oriented Senior Data Architect to begin an exciting and challenging career with our large Enterprise Application Support Program on one of our project delivery teams.

Job Responsibilities

  • Design and implement effective database structures and models to store, retrieve, and analyze data.
  • Develop, construct, test, and maintain scalable data pipelines to collect, process, and integrate data from various sources.
  • Implement ETL (Extract, Transform, Load) processes to ensure data consistency and quality.
  • Integrate data from different sources, ensuring consistency, reliability, and accuracy.
  • Develop data APIs and automation scripts to streamline data integration and workflows.
  • Monitor and optimize database and data processing system performance.
  • Conduct performance tuning and troubleshoot data issues.

Qualifications

Responsibilities
  • Design and implement effective database structures and models to store, retrieve, and analyze data.
  • Develop, construct, test, and maintain scalable data pipelines to collect, process, and integrate data from various sources.
  • Implement ETL (Extract, Transform, Load) processes to ensure data consistency and quality.
  • Integrate data from different sources, ensuring consistency, reliability, and accuracy.
  • Develop data APIs and automation scripts to streamline data integration and workflows.
  • Monitor and optimize database and data processing system performance.
  • Conduct performance tuning and troubleshoot data issues
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