Post job

Data architect vs data scientist

The differences between data architects and data scientists can be seen in a few details. Each job has different responsibilities and duties. Additionally, a data architect has an average salary of $113,700, which is higher than the $106,104 average annual salary of a data scientist.

The top three skills for a data architect include analytics, architecture and java. The most important skills for a data scientist are python, data science, and visualization.

Data architect vs data scientist overview

Data ArchitectData Scientist
Yearly salary$113,700$106,104
Hourly rate$54.66$51.01
Growth rate5%16%
Number of jobs152,504106,973
Job satisfaction--
Most common degreeBachelor's Degree, 64%Bachelor's Degree, 51%
Average age4441
Years of experience-4

What does a data architect do?

A Data Architect is responsible for designing, creating, deploying, and managing an organization's data architecture. They define how the data will be stored, consumed, integrated, and managed by different data entities.

What does a data scientist do?

A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.

Data architect vs data scientist salary

Data architects and data scientists have different pay scales, as shown below.

Data ArchitectData Scientist
Average salary$113,700$106,104
Salary rangeBetween $84,000 And $152,000Between $75,000 And $148,000
Highest paying CitySan Francisco, CARichmond, CA
Highest paying stateCaliforniaCalifornia
Best paying companyMetaThe Citadel
Best paying industryAutomotiveStart-up

Differences between data architect and data scientist education

There are a few differences between a data architect and a data scientist in terms of educational background:

Data ArchitectData Scientist
Most common degreeBachelor's Degree, 64%Bachelor's Degree, 51%
Most common majorComputer ScienceComputer Science
Most common collegeMassachusetts Institute of TechnologyColumbia University in the City of New York

Data architect vs data scientist demographics

Here are the differences between data architects' and data scientists' demographics:

Data ArchitectData Scientist
Average age4441
Gender ratioMale, 81.2% Female, 18.8%Male, 79.6% Female, 20.4%
Race ratioBlack or African American, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5%Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage11%9%

Differences between data architect and data scientist duties and responsibilities

Data architect example responsibilities.

  • Handle large projects throughout SDLC phases and manage teams and deliver successfully.
  • Design and manage reference data and master data programs: design and implement RDM and MDM solutions.
  • Lead the evaluation process for an ultimate dashboard solutions that can provide fast development and powerful visualization plus self-service features.
  • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
  • Deploy and monitor jobs and applications running on Hadoop clusters for making continuous improvement to existing architecture.
  • Provide data integration scheduling, exception management, event notification and ETL operational reporting and audit services.
  • Show more

Data scientist example responsibilities.

  • Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
  • Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
  • Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
  • Perform cross-validation-test on linear regression model of data using scikit-learn.
  • Develop python base statistical visualization to provide insights of fuzzy social media data.
  • Show more

Data architect vs data scientist skills

Common data architect skills
  • Analytics, 9%
  • Architecture, 7%
  • Java, 5%
  • Data Lake, 4%
  • AWS, 4%
  • Hadoop, 4%
Common data scientist skills
  • Python, 13%
  • Data Science, 10%
  • Visualization, 5%
  • Java, 4%
  • Hadoop, 4%
  • Tableau, 3%

Browse computer and mathematical jobs