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Enterprise data architect vs senior data architect

The differences between enterprise data architects and senior data architects can be seen in a few details. Each job has different responsibilities and duties. Additionally, an enterprise data architect has an average salary of $127,432, which is higher than the $120,247 average annual salary of a senior data architect.

The top three skills for an enterprise data architect include analytics, cloud and python. The most important skills for a senior data architect are analytics, data lake, and AWS.

Enterprise data architect vs senior data architect overview

Enterprise Data ArchitectSenior Data Architect
Yearly salary$127,432$120,247
Hourly rate$61.27$57.81
Growth rate5%5%
Number of jobs151,018150,336
Job satisfaction--
Most common degreeBachelor's Degree, 66%Bachelor's Degree, 63%
Average age4444
Years of experience--

What does an enterprise data architect do?

Enterprise data architects are information technology (IT) professionals who are responsible for creating and managing the enterprise data architecture of an organization. These IT architects are required to develop a business case to modernize and expand their data warehouse environment to improve efficiency and provide consistent access to critical data. They must support strategic initiatives to ensure that the organization is adherence to data standards and data management best practices. Enterprise data architects must also train staff members by providing them with guiding principles for best data management practices.

What does a senior data architect do?

A senior data architect is responsible for analyzing the company's existing database, ensuring its efficiency and accuracy to support business functions and operational processes. Data architects manage network systems according to business requirements and specifications, upgrading the database's infrastructure, and conducting regular configuration. They also create alternative database models that would secure the information from the company's networks to prevent unauthorized access and malfunctions. A senior data architect runs quality checks with every database to monitor its structural condition and modify procedures as necessary.

Enterprise data architect vs senior data architect salary

Enterprise data architects and senior data architects have different pay scales, as shown below.

Enterprise Data ArchitectSenior Data Architect
Average salary$127,432$120,247
Salary rangeBetween $93,000 And $172,000Between $90,000 And $160,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyGoogleLyft
Best paying industryFinanceTechnology

Differences between enterprise data architect and senior data architect education

There are a few differences between an enterprise data architect and a senior data architect in terms of educational background:

Enterprise Data ArchitectSenior Data Architect
Most common degreeBachelor's Degree, 66%Bachelor's Degree, 63%
Most common majorComputer ScienceComputer Science
Most common collegeMassachusetts Institute of TechnologyMassachusetts Institute of Technology

Enterprise data architect vs senior data architect demographics

Here are the differences between enterprise data architects' and senior data architects' demographics:

Enterprise Data ArchitectSenior Data Architect
Average age4444
Gender ratioMale, 77.2% Female, 22.8%Male, 78.9% Female, 21.1%
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, 6.2% Unknown, 4.7% Hispanic or Latino, 8.8% Asian, 12.0% White, 67.7% American Indian and Alaska Native, 0.5%
LGBT Percentage11%11%

Differences between enterprise data architect and senior data architect duties and responsibilities

Enterprise data architect example responsibilities.

  • Lead the effort to create Splunk indexing cluster from requirements gathering to implementation in AWS.
  • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
  • Develop strategies for business intelligence, analytics, and enterprise reporting.
  • Set design patterns for application integration, data governance, and analytics development.
  • Design requirements for an enterprise data profiling utility, with Hadoop as primary focus.
  • Provide enhancement and optimization with ETL process development and maintenance.
  • Show more

Senior data architect example responsibilities.

  • Develop shell scripts to automate some db maintaining and monitoring tasks.
  • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
  • Work at length with pycassa (python driver) and Astyanax (Java driver).
  • Implement enterprise grade platform (mark logic) for ETL from mainframe to NOSQL (cassandra).
  • Analyze the existing ETL application (python base), which is written using BTEQs to understand the ETL transformations.
  • Establish escalation policies for the db team.
  • Show more

Enterprise data architect vs senior data architect skills

Common enterprise data architect skills
  • Analytics, 7%
  • Cloud, 5%
  • Python, 4%
  • Data Management, 4%
  • Data Quality, 4%
  • Hadoop, 4%
Common senior data architect skills
  • Analytics, 10%
  • Data Lake, 7%
  • AWS, 6%
  • Python, 5%
  • Hadoop, 5%
  • Java, 4%

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