Automation index
How much of a Data architect’s job can AI already do?
A lake diagram comes earlier. Data that can be used, and does not rot, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Data architect
28%
AI can already do 28% of this job.
#83 / 623
View rankingData architect
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511
IS WORK OVER?
Ice-cream maker
22%
#338 / 623
View rankingIce-cream maker
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Base, overrun and the recipe.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Churn, age and the one that crystals.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
List, season and the flavour that misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Workshop, cold and the broken chain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Summer, the queue and not running out of vanilla.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Creamy in the mouth, and not selling ice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- churn
- overrun
- age bases
- ice-cream list
- cold chain
- ice crystals
- vanilla
- ice-cream season
Sources for this job· O*NET 51-3099.00· ESCO/ISCO 7512