Database Architects
Explore safer careers (1)
Lower estimated automation risk
Why it fits
Uses systems design, integration tradeoffs, scalability, standards, architecture documents, and technical coordination.
Alternative careers
Related career paths that build on similar skills and experience
Why it fits
Uses data security, access controls, auditing, risk review, incident documentation, and compliance-focused system knowledge.
Why it fits
Transfers database-backed application design, coding, performance concerns, testing, architecture, and technical documentation.
Why it fits
Directly reuses data warehouse design, schemas, ETL flows, data quality, performance tuning, and reporting architecture.
Occupation snapshot
What does this snowflake show?
What's this?
We rate jobs using four factors. These are:
- Chance of being automated
- Job growth
- Wages
- Volume of available positions
These are some key things to think about when job hunting.
Risk & user votes
Calculated automation risk
Low Risk (21-40%): This occupation has a lower risk of full replacement by AI, software, or robotic systems. Some tasks may be automated or assisted, but the role usually still relies on human judgement, communication, responsibility, physical adaptability, or practical decision-making.
More information on what this score is, and how it is calculated is available here.
Human strengths important in this job
These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.
Decision-making and problem solving
Very importantWhy this matters
Thinking creatively
Quite importantWhy this matters
Social perceptiveness
Quite importantWhy this matters
Coaching and developing others
Quite importantWhy this matters
Coordinating others’ work
Quite importantWhy this matters
Show 4 more strengths
Developing objectives and strategies
Quite importantWhy this matters
Communicating with people outside the organization
Quite importantWhy this matters
Active learning
Quite importantWhy this matters
Operations analysis
Quite importantWhy this matters
What users think
Based on 67 votes
Our visitors have voted they are unsure if this occupation will be automated. However, employees may be able to find reassurance in the automated risk level we have generated, which shows 22% chance of automation.
What do you think the risk of automation is?
What is the likelihood that Database Architects will be replaced by robots or artificial intelligence within the next 20 years?
Sentiment
Based on user votes over time
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How opinions have changed over time
Pay & outlook
Wages
In 2024, the median annual wage for Database Architects was $135,980 ($65 per hour).
The median annual wage for Database Architects was 174.7% higher than the national median annual wage, which stood at $49,500.
View wage trend
Wages over time
Growth
The number of 'Database Architects' job openings is expected to rise 8.7% by 2034
View employment trend
Total employment, and estimated job openings
Updated projections are due 09-2025.
Volume
As of 2024 there were 64,770 people employed as 'Database Architects' within the United States.
This represents around < 0.001% of the employed workforce across the country
Put another way, around 1 in 2 thousand people are employed as 'Database Architects'.
People also viewed
Job description
Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality.
O*NET-SOC code: 15-1243.00
What people are saying (3)
Additionally, it involves making decisions about trade-offs between performance, scalability, security, and other factors. These decisions can have a significant impact on the success of an organization's IT systems.
Automation of these tasks may be possible to some extent. However, the complex nature of database architecture, as well as the need for human judgment and experience, mean that full automation is unlikely in the near future.
Ultimately, the job of a database architect requires a combination of technical knowledge and creative problem-solving. These are uniquely human skills that cannot be easily replaced by machines.
Similarly, relational structures are not performant for graph data at usable levels. AI will have plenty of examples, both internal to an organization and via accepted issue-specific models, to architect and tune storage.
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