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?
Pizza maker
20%
#458 / 623
View rankingPizza 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 |
|---|---|---|---|
Dough, ferment and the day’s point.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Open, top and the oven at a thousand.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Serve, delivery and the one that arrives cold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
List, costs and the topping that runs out.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Saturday, the queue and not working too far ahead.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Pull it in time, and not leaving it carbonised.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- open dough
- bake pizza
- ferment
- top pizzas
- the oven
- pizza delivery
- dough point
- Saturday queue
Sources for this job· O*NET 35-2011.00· ESCO/ISCO 5120