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Data Architect job description template

If you are hiring for this role, start here. This free template is our detailed definition of the position, with everything you need to find and hire the right person. Copy it, add your own requirements, and post it.

Free job description below
Median pay
$135,570per year, about $65 an hour
Range$45,000 to $180,000 a year
Hourly$23 to $87 an hour
Also calledData Engineer, Data Analyst, Data Scientist
DepartmentInformation Technology
The role

What is a Data Architect?

Data Architects are IT professionals responsible for managing the company’s database models and systems.

They design and implement effective data storage and solutions, as well as the overall organizational data strategy.

They also establish data architecture framework standards and principles and manage the flow and dissemination of data.

Their job is to ensure functionality, accessibility, accuracy, and security of data.

They also collaborate with other IT professionals to identify future technological needs and requirements and provide guidance and direction to other employees.

What to screen for

The top Data Architect skills.

Five things separate a strong hire from a résumé that reads well. Use these as your scorecard criteria.

SkillWhy it matters
ProgrammingKnowledge of various programming languages is a foundation for Data Architects. Programming languages such as SQL and Python allow Data Architects to access, manage, and manipulate big amounts of data from database models and solutions. Programming languages help Data Architects handle data for a variety of purposes.
Data ModelingData modeling is a crucial technical skill that Data Architects use to create visual representations for large data sets. It involves creating diagrams and schemes to see how data is connected and how it changes over time. Data modeling helps Data Architects detect and resolve errors before writing a programming code.
CommunicationData Architects must have excellent communication skills to effectively collaborate with other employees with or without a technical background. They must be concise and articulate to be able to explain technical terms, provide explanations and instructions, and lead a team of other IT professionals.
Problem-SolvingProblem-solving skills help Data Architects find solutions to technical challenges in the workplace. They often encounter difficult or challenging situations that require quick and efficient ways to resolve problems. Effective problem-solving skills ensure Data Architects are able to maintain the accuracy and functionality of data systems and models.
Analytical SkillsData Architects also need analytical skills for their job. A strong analytical mind helps them identify the technical requirements and needs of the company and implement the most suitable solutions. Analytical skills also help them reason and interpret data in order to manage and store it in an accessible and accurate way.
Free template

The job description, ready to post.

Copy it as written, or edit it until it sounds like your company. Both work.

Data ArchitectInformation Technology · Free to use and edit

Our company is searching for a Data Architect to join an IT department. As a part of our team, you will be responsible for designing and implementing effective data solutions and models to store, manage, and retrieve the company’s data. You will identify the company’s technical requirements and translate them into technical specifications, transformations, databases, and warehouses, establish the overall organizational data strategy; and manage the flow of data within the company.

Your job will be to assess database implementation procedures to ensure compliance with the company’s policies and regulations, ensure data functionality, accuracy, accessibility, and security, and analyze data to make recommendations for future reference.

To ensure success as a Data Architect, you should have outstanding technical and programming knowledge, as well as strong communication, problem-solving, and analytical skills.

Duties and responsibilities

  • Create and implement effective data models and solutions to store, manage, and retrieve the company’s data
  • Identify and translate business requirements into technical specifications, such as data integrations, transformations, databases, and warehouses
  • Establish data architecture framework standards, principles, and security
  • Design and implement the overall organizational data strategy, including data model designs, database standards, data analysis systems, etc
  • Provide guidance and strategic direction to IT staff on the implementation and maintenance of new technology
  • Create and maintain effective data storage solutions to ensure functionality
  • Evaluate database implementation procedures to ensure compliance with the company’s policies and regulations
  • Oversee the system performance by conducting regular tests and integrating new features
  • Define security measures to protect data from unauthorized access
  • Coordinate with other data professionals to identify future needs and requirements
  • Manage the flow and dissemination of data within the company
  • Ensure data functionality, accessibility, accuracy, and security
  • Analyze and evaluate data to make recommendations based on findings

Requirements

  • Bachelor’s degree in information technology, software engineering, computer engineering, or computer science
  • A Master’s degree in computer science or other related field
  • Valid data architect certification
  • Prior working experience as a Data Architect, Data Engineer, or a similar role
  • Proficiency in systems development, data modeling and design, and database administration
  • Strong knowledge of programming languages
  • Excellent communication skills
  • Solid analytical and math skills
  • Problem-solving
Add your pay range, benefits, and location before you post. Postings with a stated range get significantly more finished applications than the ones that leave it out.

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Copy it straight into your job board or ATS, or have it emailed to you with the interview questions for this role.

Education

Degree first, then the certification.

Candidates need a Bachelor’s degree in information technology, computer science, software engineering, or computer engineering to become Data Architects.

Some companies require their Data Architects to have a Master’s degree in computer science or a related field.

There are numerous certifications available for Data Architects offered by Amazon, IBM, Google, and other companies.

Some of the most common certifications include Certified Data Professional (CDP), Certified Data Management Professional (CDMP), IBM Certified Data Architect - Big Data, and Certified Data Architecture and Management Designer.

Becoming a senior-level Data Architect requires at least 5 years of working experience.

Candidates can begin their careers in entry-level positions such as Database Administrators or Data Managers.

CDP

Certified Data Professional

Demonstrates expertise in data management and data governance.

DAMA International
CDMP

Certified Data Management Professional

Validates knowledge and skills in data management practices.

DAMA International
Treat these as a signal, not a requirement. Plenty of strong candidates come up through experience without one.
After the applications land

Sample interview questions for a Data Architect.

Once you have gathered the applications, work through these in order. Twelve questions across four areas, enough to tell your shortlist apart.

Personal
  • What are some of your strengths and weaknesses?
  • Can you tell us about your first working experience?
  • Have you always wanted to work in the IT industry?
Human Resources
  • Where did you obtain your degree?
  • Why are you interested in working for this company in particular?
  • Do you have any relevant data architect certification credentials?
Management
  • What are the most common challenges you faced while designing data architecture?
  • How would you present and explain complex technical information so your audience can understand?
  • Have you ever disagreed with a colleague, and how did you resolve it?
Technical Skills and Knowledge
  • What are the advantages of working with SQL?
  • How do you ensure the functionality and accuracy of databases and models?
  • How would you create a model that would describe our company’s sales processes?
Pay

How much to pay when hiring.

Annual pay by percentile. Where you land depends on the size of the cycle they will own, and the 25th percentile is usually where a first analyst hire sits.

10th percentile$45,000
25th percentile$113,000
Median$135,570
75th percentile$156,000
90th percentile$180,000

Hourly equivalents run from $23 at the 10th percentile to $87 at the 90th.

Related job titles

Candidates may apply under a different name.

Post the title your industry uses and keep the rest of the description. These three roles overlap enough that the same posting usually reaches all of them.

Same work, different title

Three titles, one description.

Search behavior varies by industry, so the same job is advertised under several names. If you are unsure which one your candidates search for, run two titles and see which fills.

Data Engineer

Data Engineers are professionals who build databases, systems, and methods that help companies store and manage important data.

$122,435 median

Data Analyst

A Data Analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions.

$82,640 median

Data Scientist

A Data Scientist is a professional who analyzes and interprets complex data to help organizations make informed decisions.

$122,738 median
Questions

Frequently asked questions.

What is a Data Architect?

Data Architects are IT professionals who design and implement data models and solutions for storing, managing, and retrieving the company’s data.

They identify the company’s technical requirements and establish effective data storage.

They also ensure functionality, accuracy, accessibility, and security of the company’s data.

What are the differences between Data Architects and Data Engineers?

Both Data Architect and Data Engineer roles are closely related, but Data Architect is considered a more advanced role than Data Engineer.

Data Architects are the ones who visualize and implement the complete data framework, solutions, and models, while Data Engineers are responsible for building Data Architects’ vision.

What are the different types of Data Architects?

Based on their primary responsibilities and area of expertise, Data Architects can be:

  • Cloud Architects
  • Security Architects
  • Machine Learning Architects
Who do Data Architects report to?

In large companies and corporations, Data Architects typically report to the Director of Data Architecture.

In smaller businesses, they report to the IT Manager or Director of Information Technology.

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Data Modeler

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