1. What is the average salary of a Data Architect IV?
The average annual salary of Data Architect IV is $154,066.
In case you are finding an easy salary calculator,
the average hourly pay of Data Architect IV is $74;
the average weekly pay of Data Architect IV is $2,963;
the average monthly pay of Data Architect IV is $12,839.
2. Where can a Data Architect IV earn the most?
A Data Architect IV's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer.
According to the latest salary data by Salary.com, a Data Architect IV earns the most in San Jose, CA, where the annual salary of a Data Architect IV is $193,352.
3. What is the highest pay for Data Architect IV?
The highest pay for Data Architect IV is $182,811.
4. What is the lowest pay for Data Architect IV?
The lowest pay for Data Architect IV is $126,835.
5. What are the responsibilities of Data Architect IV?
Data Architect IV designs and builds databases for data storage or processing. Develops strategies for warehouse implementation, data acquisition and access, and data archiving and recovery. Being a Data Architect IV builds data models and defines the structure, attributes and nomenclature of data elements. May evaluate new data sources for adherence to the organization's quality standards and ease of integration. Additionally, Data Architect IV requires a bachelor's degree. Typically reports to a supervisor or manager. The Data Architect IV work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. To be a Data Architect IV typically requires 7+ years of related experience.
6. What are the skills of Data Architect IV
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
1.)
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
2.)
Computer Science: Computer science is the study of computation, automation, and information. Computer science spans theoretical disciplines (such as algorithms, theory of computation, information theory, and automation) to practical disciplines.
3.)
Data Warehousing: Data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is considered a core component of business intelligence.