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Data architect hiring summary. Here are some key points about hiring data architects in the United States:
Here's a step-by-step data architect hiring guide:
A Data Architect is responsible for designing, creating, deploying, and managing an organization's data architecture. They define how the data will be stored, consumed, integrated, and managed by different data entities.
First, determine the employments status of the data architect you need to hire. Certain data architect roles might require a full-time employee, whereas others can be done by part-time workers or contractors.
Hiring the perfect data architect also involves considering the ideal background you'd like them to have. Depending on what industry or field they have experience in, they'll bring different skills to the job. It's also important to consider what levels of seniority and education the job requires and what kind of salary such a candidate would likely demand.
This list shows salaries for various types of data architects.
| Type of Data Architect | Description | Hourly rate |
|---|---|---|
| Data Architect | A Data Architect is responsible for designing, creating, deploying, and managing an organization's data architecture. They define how the data will be stored, consumed, integrated, and managed by different data entities. | $40-73 |
| Data Warehouse Developer | Data Warehouse Developers are information technology (IT) professionals assigned to manage company-related information or data. They are responsible for creating the company's data warehouse, where the company's data will be stored... Show more | $34-57 |
| Data Engineer | A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise... Show more | $38-71 |
Including a salary range in your data architect job description is one of the best ways to attract top talent. A data architect can vary based on:
| Rank | State | Avg. salary | Hourly rate |
|---|---|---|---|
| 1 | California | $140,382 | $67 |
| 2 | Maryland | $111,335 | $54 |
| 3 | New Jersey | $111,200 | $53 |
| 4 | Washington | $109,992 | $53 |
| 5 | Arizona | $109,364 | $53 |
| 6 | Massachusetts | $109,336 | $53 |
| 7 | New York | $109,206 | $53 |
| 8 | Pennsylvania | $106,290 | $51 |
| 9 | Virginia | $105,605 | $51 |
| 10 | Michigan | $104,709 | $50 |
| 11 | District of Columbia | $104,614 | $50 |
| 12 | Indiana | $103,776 | $50 |
| 13 | Texas | $103,317 | $50 |
| 14 | Connecticut | $101,756 | $49 |
| 15 | North Carolina | $99,993 | $48 |
| 16 | Ohio | $98,699 | $47 |
| 17 | Florida | $97,800 | $47 |
| 18 | Illinois | $97,567 | $47 |
| 19 | Minnesota | $97,505 | $47 |
| 20 | Georgia | $97,099 | $47 |
| Rank | Company | Average salary | Hourly rate | Job openings |
|---|---|---|---|---|
| 1 | Meta | $164,517 | $79.09 | 487 |
| 2 | StubHub | $155,859 | $74.93 | 14 |
| 3 | Apple | $154,203 | $74.14 | 140 |
| 4 | Netflix | $154,152 | $74.11 | 8 |
| 5 | PayPal | $152,954 | $73.54 | 10 |
| 6 | Pure Storage | $152,059 | $73.11 | 18 |
| 7 | $151,387 | $72.78 | ||
| 8 | $151,022 | $72.61 | 395 | |
| 9 | eBay | $149,667 | $71.96 | 9 |
| 10 | The Walt Disney Company | $147,614 | $70.97 | 71 |
| 11 | Anaplan | $146,635 | $70.50 | 14 |
| 12 | Revlon | $146,377 | $70.37 | |
| 13 | McKinsey & Company Inc | $145,086 | $69.75 | 59 |
| 14 | First Republic Bank | $145,068 | $69.74 | |
| 15 | NVIDIA | $144,297 | $69.37 | 205 |
| 16 | Myriad Genetics | $143,257 | $68.87 | 2 |
| 17 | Avid | $142,970 | $68.74 | |
| 18 | F5 | $142,863 | $68.68 | 25 |
| 19 | Logitech | $142,026 | $68.28 | |
| 20 | Bunge | $141,273 | $67.92 | 2 |
A data architect job description should include a summary of the role, required skills, and a list of responsibilities. It's also good to include a salary range and the first name of the hiring manager. Below, you can find an example of a data architect job description:
There are a few common ways to find data architects for your business:
During your first interview to recruit data architects, engage with candidates to learn about their interest in the role and experience in the field. During the following interview, you'll be able to go into more detail about the company, the position, and the responsibilities.
It's also good to ask about candidates' unique skills and talents to see if they match your ideal candidate profile. If you think a candidate is good enough for the next step, you can move on to the technical interview.
While interviews are great, you will only sometimes learn enough from a conversation with a data architect applicant. In those cases, having candidates complete a test project can go a long way in figuring out who's the most likely to succeed in the role. If you aren't a technical person and don't know how to design an appropriate test, you can ask someone else on the team to create it or take a look at these websites to get a few ideas:
The right interview questions can help you assess a candidate's hard skills, behavioral intelligence, and soft skills.
Once you have selected a candidate for the data architect position, it is time to create an offer letter. In addition to salary, the offer letter should include details about benefits and perks that are available to the employee. Ensuring your offer is competitive is vital, as qualified candidates may be considering other job opportunities. The candidate may wish to negotiate the terms of the offer, and it is important to be open to discussion and reach a mutually beneficial agreement. After the offer has been accepted, it is a good idea to formalize the agreement with a contract.
It's equally important to follow up with applicants who don't get the job with an email letting them know that the position has been filled.
After that, you can create an onboarding schedule for a new data architect. Human Resources and the hiring manager should complete Employee Action Forms. Human Resources should also ensure that onboarding paperwork is completed, including I-9s, benefits enrollment, federal and state tax forms, etc., and that new employee files are created.
Recruiting data architects involves both the one-time costs of hiring and the ongoing costs of adding a new employee to your team. Your spending during the hiring process will mostly be on things like promoting the job on job boards, reviewing and interviewing candidates, and onboarding the new hire. Ongoing costs will obviously involve the employee's salary, but also may include things like benefits.
The median annual salary for data architects is $113,700 in the US. However, the cost of data architect hiring can vary a lot depending on location. Additionally, hiring a data architect for contract work or on a per-project basis typically costs between $40 and $73 an hour.