Data Warehousing Specialists

Low Risk
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Occupation snapshot

What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
5.7/10
What's this?
Job Score (higher is better):

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

27% (Low 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.

Thinking creatively

Quite important
Why this matters
Coming up with original ideas and designs—creating new concepts, products, systems, or artistic work. This kind of open-ended invention and taste-based judgment is harder to automate end-to-end than routine, rule-based tasks.
Jobs that also use this strength

Social perceptiveness

Quite important
Why this matters
Noticing others’ emotions and reactions in the moment and adjusting what you say or do based on why they’re responding that way.
Jobs that also use this strength

Decision-making and problem solving

Quite important
Why this matters
Analyze information, weigh tradeoffs, and choose the best solution—especially when situations are ambiguous, high-stakes, or have real-world consequences.
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Consulting and advising others

Quite important
Why this matters
Provide guidance and expert advice to managers or teams on technical, system, or process decisions—explaining options, tradeoffs, and recommended actions.
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Active learning

Quite important
Why this matters
Keeps learning from new information and applying it to make better decisions now and in the future, especially when situations change.
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What users think

Based on 91 votes

57% chance of full automation within the next two decades

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 27% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Data Warehousing Specialists will be replaced by robots or artificial intelligence within the next 20 years?

Sentiment

Based on user votes over time

View sentiment trend

How opinions have changed over time

Pay & outlook

Wages

Very high paid relative to other professions

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.

* Data from the Bureau of Labor Statistics

Growth

Very fast growth relative to other professions

The number of 'Database Architects' job openings is expected to rise 8.7% by 2034

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Volume

Moderate range of job opportunities compared to other professions

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'.

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What people are saying (2)

Claire (Low)
01 Mar 2025 17:02
There is a strong need to understand very nuanced user requirements and produce datasets to meet these. Interoperability is also a long way from being automated.
ilian (Moderate)
21 Jun 2024 14:35
makeing an algorithm to sort out data is something we already achived multiple time therefore it would not be hard to make one tailored to each corporation's needs
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Job description

Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.

O*NET-SOC code: 15-1243.01