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Data Architects

Computer & Mathematicalhighaugment
BLS 2024-34: +20%
Median Wage: $134,870
Employment: 53K

Overall Exposure

64

2025 vs 2023

Theoretical Exposure

82

What AI could do

Observed Exposure

46

What AI actually does

Automation Risk Score

35

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

64โ†’77
+13

2025 โ†’ 2028 (estimated)

Theoretical Exposure

82โ†’90
+8

2025 โ†’ 2028 (estimated)

Observed Exposure

46โ†’64
+18

2025 โ†’ 2028 (estimated)

Automation Risk

35โ†’48
+13

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
202458783830actual
202564824635estimated
202669855340estimated
202773885944estimated
202877906448estimated

Task Breakdown

Design logical and physical data models for enterprise systems
55%ฮฒ 1
Define data governance policies and standards
40%ฮฒ 0.5
Evaluate and select data management technologies and platforms
45%ฮฒ 0.5

About This Occupation

If you work as a Data Architect, AI is augmenting your data modeling and architecture design tasks. With an automation risk of 35/100 and overall exposure at 64%, this role faces high transformation. Data model design sees the highest automation at 55%. BLS projects +20% growth through 2034.

Frequently Asked Questions

With an automation risk score of 35%, Data Architects faces a moderate level of AI-driven change. Some tasks can be automated, but many require human judgment, creativity, or interpersonal skills that AI cannot yet replicate. The role is more likely to evolve alongside AI than be replaced.

The AI automation risk score for Data Architects is 35% (2025 data). Overall AI exposure is 64%, with 82% theoretical exposure and 46% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Data Architects are: Design logical and physical data models for enterprise systems (55%), Evaluate and select data management technologies and platforms (45%), Define data governance policies and standards (40%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects +20% employment change for Data Architects from 2024 to 2034. Combined with an overall AI exposure of 64%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Data Architects should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.