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Data Warehouse Architect Salary
in Arkansas, United States

$103,752 (USD)

Average Salary

$50/hr

Average Hourly

$9,556

Average Bonus

Salary Recap

The average pay for a Data Warehouse Architect is $103,752 a year and $50 an hour in Arkansas, United States. The average salary range for a Data Warehouse Architect is between $71,984 and $129,087. On average, a Bachelor's Degree is the highest level of education for a Data Warehouse Architect. This compensation analysis is based on salary survey data collected directly from employers and anonymous employees in Arkansas, United States.

Average Salary Chart

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Job Summary

Description:
  • Designs, develops, and implements the data architecture for a data warehouse, including high-performance ETL (Extract, Transform, and Load) tools and routines and the infrastructure.
  • Develops strategies for warehouse implementation, data acquisition, and archive recovery, and identifies strategic opportunities to keep organization poised as an industry leader, understanding both logical and physical data warehouse architecture.
  • Defines and delivers data solutions in complex environments, including complex application integration solutions.
  • Designs, constructs, and provides high-performance, scalable data, and system management application and tools to assist in the upgrade, management, and optimization of data systems.

Salary Potential

Estimated salary in 2024:
$120,277
5 Year Change:
16 %

Education

Skills

Data Warehouse Architect Job Listings for Arkansas, United States

Senior Data Architect
Jan 15
Lowell, AR, USA
Mastech
Data Warehouse Role Description: The Senior Data Architect would need to have at least 5+ years of experience. As
Database Architect
Dec 20
us
USAble Life
The Database Architect will: * Provide technical and data leadership to the data architecture group ... Develops strategies for warehouse implementation, data acquisition, and archive recovery
Quantitative Analyst II or Senior - 32097
Jan 15
Fayetteville, AR, USA
Black Hills Energy
Ability to apply principles of data engineering, including working directly with information technology teams on data warehousing and database architecture projects to support the data needs of the ...
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