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Lead data architect vs data architect

The differences between lead data architects and data architects 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 $112,015 average annual salary of a lead data architect.

The top three skills for a lead data architect include analytics, data management and java. The most important skills for a data architect are analytics, architecture, and java.

Lead data architect vs data architect overview

Lead Data ArchitectData Architect
Yearly salary$112,015$113,700
Hourly rate$53.85$54.66
Growth rate5%5%
Number of jobs150,424152,504
Job satisfaction--
Most common degreeBachelor's Degree, 57%Bachelor's Degree, 64%
Average age4544
Years of experience--

What does a lead data architect do?

Lead Data Architects are experienced employees who manage the data architecture needs of the company. They also manage the data architects who fulfill these needs. They are in charge of creating data management systems based on the requirement of the company. They work hand in hand with data engineers and information technology professionals to create these systems. Lead Data Architects design data systems based on the internal and external data sources of the company. They would then create a blueprint to centralize these systems to streamline the different processes of the company.

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.

Lead data architect vs data architect salary

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

Lead Data ArchitectData Architect
Average salary$112,015$113,700
Salary rangeBetween $84,000 And $149,000Between $84,000 And $152,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyMetaMeta
Best paying industryTechnologyAutomotive

Differences between lead data architect and data architect education

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

Lead Data ArchitectData Architect
Most common degreeBachelor's Degree, 57%Bachelor's Degree, 64%
Most common majorComputer ScienceComputer Science
Most common collegeStanford UniversityMassachusetts Institute of Technology

Lead data architect vs data architect demographics

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

Lead Data ArchitectData Architect
Average age4544
Gender ratioMale, 61.3% Female, 38.7%Male, 81.2% Female, 18.8%
Race ratioBlack or African American, 8.8% Unknown, 4.4% Hispanic or Latino, 12.8% Asian, 17.7% White, 56.0% American Indian and Alaska Native, 0.3%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 Percentage7%11%

Differences between lead data architect and data architect duties and responsibilities

Lead data architect example responsibilities.

  • Define and manage MDM RFP for software selection.
  • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
  • Perform dimensional data modeling using Erwin to support data warehouse design and ETL development.
  • Expose plan reports using HADOOP and HAWQ.
  • Map the extracted data to Java components generate.
  • Design tables that publish deep analytics and dashboard reports by processing 60MM transactions per day.
  • Show more

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

Lead data architect vs data architect skills

Common lead data architect skills
  • Analytics, 14%
  • Data Management, 7%
  • Java, 5%
  • Data Governance, 5%
  • Data Quality, 5%
  • Emerging Technologies, 5%
Common data architect skills
  • Analytics, 9%
  • Architecture, 7%
  • Java, 5%
  • Data Lake, 4%
  • AWS, 4%
  • Hadoop, 4%

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