Database modeler vs data modeler

The differences between database modelers and data modelers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a database modeler and a data modeler. Additionally, a data modeler has an average salary of $100,495, which is higher than the $81,899 average annual salary of a database modeler.

The top three skills for a database modeler include SAS, visual database and data warehouse. The most important skills for a data modeler are ETL, data analysis, and data architecture.

Database modeler vs data modeler overview

	Database Modeler	Data Modeler
Yearly salary	$81,899	$100,495
Hourly rate	$39.37	$48.31
Growth rate	9%	9%
Number of jobs	10,950	81,645
Job satisfaction	-	-
Most common degree	Master's Degree, 42%	Bachelor's Degree, 70%
Average age	46	46
Years of experience	4	4

Database modeler vs data modeler salary

Database modelers and data modelers have different pay scales, as shown below.

	Database Modeler	Data Modeler
Average salary	$81,899	$100,495
Salary range	Between $61,000 And $108,000	Between $73,000 And $138,000
Highest paying City	-	San Francisco, CA
Highest paying state	-	California
Best paying company	-	Meta
Best paying industry	-	Pharmaceutical

Differences between database modeler and data modeler education

There are a few differences between a database modeler and a data modeler in terms of educational background:

	Database Modeler	Data Modeler
Most common degree	Master's Degree, 42%	Bachelor's Degree, 70%
Most common major	Computer Science	Computer Science
Most common college	Northwestern University	-

Database modeler vs data modeler demographics

Here are the differences between database modelers' and data modelers' demographics:

	Database Modeler	Data Modeler
Average age	46	46
Gender ratio	Male, 77.3% Female, 22.7%	Male, 71.0% Female, 29.0%
Race ratio	Black or African American, 4.7% Unknown, 4.9% Hispanic or Latino, 7.2% Asian, 19.0% White, 63.7% American Indian and Alaska Native, 0.5%	Black or African American, 6.2% Unknown, 5.1% Hispanic or Latino, 8.1% Asian, 28.6% White, 51.5% American Indian and Alaska Native, 0.5%
LGBT Percentage	6%	6%

Differences between database modeler and data modeler duties and responsibilities

Database modeler example responsibilities.

Involve in data governance processes relate to data quality and information management, managing the metadata repository etc.
Develop and implement many cluster monitoring scripts using linux shell scripting.
Analyze functional and non-functional data elements for data profiling and mapping from source to target data environment.
Assist other data analysts and research scientists with data manipulation, presentations/big data visualization, information tracking, and projects.
Provide system analysts with coding standards and capabilities of RDBMS.
Streamline and reorganize the department's SharePoint's file repository enabling team members to locate procedural documents effortlessly.

Data modeler example responsibilities.

Lead efforts to analyze data for source/target mappings, create T-SQL scripts for data processing.
Involve in data governance processes relate to data quality and information management, managing the metadata repository etc.
Accomplish at designing dashboards and data summaries for technical and non-technical audiences and facilitating implementation of business strategies and missions.
Design the data marts in dimensional data modeling using star and snowflake schemas.
Develop data architecture prototypes and data models including ETL staging models, audit control models and traditional data warehouse dimension/fact models.
Work extensively with XML schema generation.

Database modeler vs data modeler skills

Common database modeler skills

SAS, 48%
Visual Database, 21%
Data Warehouse, 12%
Dimensional Data, 10%
Logical Data Model, 10%

Common data modeler skills

ETL, 6%
Data Analysis, 6%
Data Architecture, 6%
Physical Data Models, 5%
Data Warehouse, 5%
Tableau, 5%