Database Architects
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Automation risk
Moderate Risk (41-60%): Occupations with a moderate risk of automation usually involve routine tasks but still require some human judgment and interaction.
More information on what this score is, and how it is calculated is available here.
User poll
Our visitors have voted they are unsure if this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 51% 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
The following graph(s) are included wherever there is a substantial amount of votes to render meaningful data. These visual representations display user poll results over time, providing a significant indication of sentiment trends.
Sentiment over time (yearly)
Growth
The number of 'Database Architects' job openings is expected to rise 10.3% by 2032
Total employment, and estimated job openings
Updated projections are due 09-2023.
Wages
In 2023, the median annual wage for 'Database Architects' was $134,700, or $64 per hour
'Database Architects' were paid 180.3% higher than the national median wage, which stood at $48,060
Wages over time
Volume
As of 2023 there were 59,920 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'.
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.
SOC Code: 15-1243.00
Comments
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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