Database Architect

A Database Architect designs and implements database systems, ensuring optimal performance, security, and data integrity for efficient data storage and retrieval.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Database Architect

Indeed
Market
National (USA)
Base Salary
$125,391 / year
Satisfaction
81%
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Database Architect is $125,391 / year according to Indeed.com

There are no updated reports for Database Architect salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Database Architect role may have an alternate title depending on the company. To find more information, you can check Indeed.com.

Career Information

As a Database Architect, you will be responsible for designing and managing an organization's database systems. You will need a strong understanding of database management systems and data modeling, as well as experience with database administration and optimization. Strong problem-solving and analytical skills are essential, as you will be responsible for ensuring data integrity and performance.

The average salary for Database Architect is $125,391 / year according to Indeed.com
AI Disclaimer
The following text about the Job role of Database Architect has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

Database Architects are responsible for designing and implementing databases that meet the needs of an organization. They work with a team of developers and other stakeholders to understand the requirements of the database and create a design that meets those needs. They also work with the development team to implement the design and ensure that the database is properly maintained and updated.

Database Architects have a wide range of skills, including knowledge of database design, implementation, and maintenance. They must also have strong problem-solving and analytical skills, as well as the ability to work with a team.

Database Architects typically have a bachelor's degree in computer science or a related field, and they may also have a master's degree or certification in database design or a related field.

Database Architects perform a variety of tasks, including:

  • Designing and implementing databases that meet the needs of an organization
  • Working with a team of developers and other stakeholders to understand the requirements of the database
  • Creating a design that meets those requirements
  • Implementing the design and ensuring that the database is properly maintained and updated
  • Conducting code reviews and providing feedback to developers
  • Conducting performance reviews and providing feedback to the development team
  • Working with the testing team to ensure that the database is properly tested
  • Working with the operations team to ensure that the database is properly maintained and updated in production

Database Architects are an important part of any organization, as they ensure that the database is properly designed, implemented, and maintained. They work with a team of developers and other stakeholders to ensure that the database meets the needs of the organization and is properly maintained and updated.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

AWS Certified Database — Specialty

DBS-C01

The AWS Database Certification — Specialty program is intended to validate candidates' expertise in recommending, designing, and implementing AWS cloud-based relational and NoSQL database systems.

Advanced
View More

Google Certified Professional Cloud Database Engineer

The Google Certified Professional Cloud Database Engineer program is designed for experienced database engineers with a strong background in both Cloud computing and overall database and IT experience.

Intermediate
View More

Microsoft Certified: Azure Database Administrator Associate

DP-300

The Microsoft Certified: Azure Database Administrator Associate program is designed for professionals who have expertise in building database solutions that support multiple workloads using SQL Server on-premises and Azure SQL database services. 

Intermediate
View More

CKA: Certified Kubernetes Administrator

CKA

The Certified Kubernetes Administrator (CKA) program is a highly sought-after certification in the rapidly evolving tech economy.

Intermediate
View More

KCNA: Kubernetes and Cloud Native Associate

KCNA

The Kubernetes and Cloud Native Associate (KCNA) is a pre-professional certification program that demonstrates a user's foundational knowledge and skills in Kubernetes and the broader cloud native ecosystem.

Beginner
View More
Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

Meta Database Engineer Professional Certificate

Professional

Azure Database Administrator Associate

Course

This program provides a comprehensive understanding of Azure database concepts and principles, along with the skills required to manage and maintain cloud-based databases on the Microsoft Azure platform.

Intermediate
View More
View More

Google Cloud Database Engineer Specialization

Specialization

This specialization offers a curated selection of on-demand courses, labs, and skill badges, giving you practical experience with Google Cloud technologies crucial for the Database Engineer role.

Intermediate
View More
View More

Intermediate Relational Database and SQL

Project

This course equips data science learners with essential skills for creating and maintaining relational databases, such as MySQL, Oracle, and MS Access.

Intermediate
View More
View More

Advanced Data Modeling

Course

SQL Server Developer

Career Track

Professional Certificate in SQL, NoSQL, and Relational Database Fundamentals

Professional

SQL Fundamentals

Skill Track

This beginner-friendly course covers essential concepts such as writing queries, filtering data, combining data using joins, and summarizing data with SQL to efficiently analyze datasets and save time.

Learn SQL

Nanodegree

Master SQL in Big Data Analysis through this comprehensive Nano-degree program, featuring a guided Deforestation Exploration project, technical mentor support, and covering essential data analysis concepts.

Introduction to SQL

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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