Data Warehouse Architect Job Description [Updated for 2025]

In today’s data-driven age, the importance of Data Warehouse Architects has never been more pronounced.

As technology advances, the demand for skilled individuals who can design, develop and manage our data infrastructure grows exponentially.

But let’s delve deeper: What exactly is expected from a Data Warehouse Architect?

Whether you are:

• A job seeker looking to understand the intricacies of this role,
• A hiring manager drafting the ideal candidate profile,
• Or just curious about the nuances of data warehouse architecture,

You’ve come to the right place.

Today, we present a customizable Data Warehouse Architect job description template, created for effortless posting on job boards or career sites.

Let’s dive right in.

Data Warehouse Architect Duties and Responsibilities

Data Warehouse Architects design, develop, manage, and update data architectures, databases, and processing systems.

They work to ensure that the data needs of a company are met and the data is stored and processed in a way that aligns with company policy and industry standards.

The following are the duties and responsibilities of a Data Warehouse Architect:

• Analyze organizational data needs and work with stakeholders to define and implement data strategies
• Design and oversee the implementation of data warehouse architecture, data models, and databases
• Ensure data accuracy, security, and regulatory compliance
• Coordinate with data scientists and analysts to understand data needs and deliver systems that can meet these needs
• Develop and implement data standards and quality rules
• Manage data cleansing, de-duplication, and harmonization of data
• Design, create, and maintain data systems and databases; this includes fixing coding errors and other data-related problems
• Recommend ways to improve data reliability, efficiency and quality
• Provide technical expertise to team members and other departments
• Document all data warehouse architecture changes and choices

 

Data Warehouse Architect Job Description Template

Job Brief

We are seeking an experienced Data Warehouse Architect to join our team.

The Data Warehouse Architect will be responsible for designing and creating data warehouse solutions that enable us to extract data for insights.

The role involves tasks like developing data architecture design, testing and administering data warehouses, ensuring adherence to legal and company standards, and collaborating with data scientists and IT team members.

 

Responsibilities

• Design and implement effective database solutions and models to store and retrieve company data.
• Identify strategic data requirements of an organization.
• Evaluate, design, and implement data warehousing initiatives.
• Create or modify existing databases to support new data initiatives and workload.
• Examine and identify database structural necessities by evaluating operations, applications, and programming.
• Assess database implementation procedures to ensure they comply with internal and external regulations.
• Collaborate with data scientists, data analysts, and other stakeholders to ensure data solutions are available.
• Oversee the migration of data from legacy systems to new solutions.
• Monitor the performance of data systems and if needed, perform modifications to increase efficiency.
• Ensure all database programs meet company and performance requirements.

 

Qualifications

• Proven experience as a Data Warehouse Architect.
• Proficient in data mining and segmentation techniques.
• Strong knowledge of database structure systems and data mining.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• BSc or MSc degree in Computer Science, Information Technology, or relevant field.
• Experience in data warehouse design (e.g. dimensional modeling) and data mining.
• In-depth understanding of database management systems, online analytical processing (OLAP), and ETL (Extract, transform, load) framework.
• Familiarity with BI technologies (e.g. Microsoft Power BI, Oracle BI).
• Knowledge of SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Data Warehouse Architect
• Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
• Reporting Structure: Reports to the Lead Data Architect or Information Technology Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $100,000 minimum to $160,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does a Data Warehouse Architect Do?

Data Warehouse Architects are IT professionals who are primarily tasked with designing, developing, and maintaining a company’s data architecture.

They work closely with data analysts, data scientists, and other stakeholders to ensure that the company’s data management systems are robust, reliable, and efficient.

Their job involves mapping out and implementing data strategies, determining system requirements, and coordinating with the team to ensure that data is stored and accessed properly.

They are also responsible for setting up and maintaining ETL (Extract, Transform, Load) processes, creating data models and structures, and creating documentation of data flow.

Data Warehouse Architects also ensure data integrity, security, and privacy by implementing appropriate protocols and procedures.

They are often tasked with troubleshooting and resolving any issues that may arise in the data warehouse environment.

In addition to their technical duties, they also communicate effectively with non-technical stakeholders, explaining complex data concepts in a simple, understandable manner.

This role often involves keeping up to date with the latest industry trends and technologies to improve the efficiency of the company’s data systems.

 

Data Warehouse Architect Qualifications and Skills

A proficient Data Warehouse Architect should possess a range of technical skills, industry knowledge, and interpersonal abilities, such as:

• Comprehensive understanding of data warehousing techniques and principles, including extraction, transformation, and loading (ETL) processes.
• Expertise in SQL and other database technologies to efficiently manage and retrieve data.
• Ability to design, develop, and manage large scale data structures and pipelines to effectively store, process, and analyze data.
• Problem-solving skills to identify and promptly address any issues that may arise in the data architecture.
• Strong communication skills to effectively collaborate with data analysts, data scientists, IT team members, and stakeholders, and to explain complex data concepts in understandable terms.
• Analytical skills to assess the effectiveness of the data warehouse and make improvements or modifications as necessary.
• Knowledge of data privacy and security regulations to ensure that data storage and processing are compliant.
• Project management skills to oversee projects from conception to completion, ensuring they are completed within timeline and budget.

 

Data Warehouse Architect Experience Requirements

Entry-level Data Warehouse Architects typically have 1 to 2 years of experience working in data management, data warehousing, or a related field.

This experience can be obtained through internships, part-time roles, or even relevant academic projects.

Candidates with around 3 years of experience often have had hands-on experience designing, implementing, and maintaining data warehousing systems.

During this time, these professionals may have also developed a firm understanding of databases, data modeling, data architecture, ETL (Extract, Transform, Load) tools, and business intelligence tools.

Professionals with more than 5 years of experience are usually considered senior-level.

They are expected to have gained in-depth technical knowledge and practical experience in data warehouse architecture.

This includes designing and implementing complex data warehousing solutions, integrating new technologies, and managing large datasets.

Those with 7 to 10 years of experience often hold leadership roles and are responsible for leading data warehouse design and development projects.

They may also be involved in strategy development and decision-making regarding data management in the organization.

Additionally, Data Warehouse Architects are usually required to have a Bachelor’s degree in Computer Science, Information Systems, or a related field, although a Master’s degree or additional certifications can be a valuable asset.

 

Data Warehouse Architect Education and Training Requirements

A Data Warehouse Architect typically requires a bachelor’s degree in computer science, information technology, or a related field.

They should possess a deep understanding of database design and structure, and knowledge of data mining and segmentation techniques.

Proficiency in SQL queries, ETL (Extract, Transform, Load) operations, and OLAP (Online Analytical Processing) technologies are also highly valuable.

Several years of experience working with data analysis and management are usually required.

This experience often comes in the form of prior roles such as data analyst, data engineer, or database administrator.

For some positions, particularly those with more specialized or complex responsibilities, a master’s degree in data science, data engineering, or a closely related field may be required.

Additional relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate or Google Cloud Certified – Professional Data Engineer, can provide a competitive edge and are often highly valued by employers.

Continual learning and staying updated with the latest industry trends, tools, and technologies is crucial for a Data Warehouse Architect, due to the rapidly evolving nature of the data field.

 

Data Warehouse Architect Salary Expectations

A Data Warehouse Architect earns an average salary of $122,475 (USD) per year.

The actual compensation can vary depending on factors like years of experience, specific technical skills, the complexity of the projects handled, and the location of the job.

 

Data Warehouse Architect Job Description FAQs

What skills does a Data Warehouse Architect need?

Data Warehouse Architects should have a strong understanding of data architecture and data modeling principles.

They should be proficient in SQL and have experience with data warehouse technologies like ETL tools, OLAP, and BI tools.

They should also possess project management skills, the ability to troubleshoot and solve complex problems, and excellent communication skills to interact with various stakeholders.

 

Do Data Warehouse Architects need a degree?

Most Data Warehouse Architects are required to have a bachelor’s degree in computer science, information technology, or a related field.

A master’s degree or additional certifications in data management or data architecture might be preferred in some advanced roles.

It’s also important for a Data Warehouse Architect to have several years of experience in data warehousing or business intelligence.

 

What should you look for in a Data Warehouse Architect resume?

On a Data Warehouse Architect’s resume, look for a strong educational background in a relevant field, and substantial experience in data warehousing.

Proficiency in SQL, ETL tools, and data modeling software is also important.

Certification from a recognized professional body, such as the Data Management Association International, can also be a plus.

Look also for examples of projects they have managed and the results they achieved.

 

What qualities make a good Data Warehouse Architect?

A good Data Warehouse Architect is analytical and detail-oriented, with a strong understanding of business needs and the ability to translate them into technical requirements.

They should be able to work independently as well as collaboratively, and be comfortable explaining complex technical concepts to non-technical stakeholders.

Additionally, a good Data Warehouse Architect is always curious about the latest trends and technologies in data management and is committed to continuous learning.

 

What are the daily duties of a Data Warehouse Architect?

A Data Warehouse Architect typically starts their day by reviewing the status of ongoing projects and addressing any issues that have arisen.

They might then meet with stakeholders to discuss requirements for new projects or updates to existing ones.

The rest of their day might be spent designing or implementing data models, testing data warehouse systems, or documenting processes and procedures.

They may also spend time researching and learning about new technologies or techniques in data management.

 

Is it difficult to hire Data Warehouse Architects?

Hiring Data Warehouse Architects can be challenging due to the specialized nature of the role and the high level of expertise required.

Companies must often compete to attract the most qualified candidates, offering competitive salaries and opportunities for professional development.

 

Conclusion

So there you have it.

Today, we’ve unveiled the reality of being a Data Warehouse Architect.

And guess what?

It’s not just about designing data storage systems.

It’s about building the foundation of data-driven decision making, one data model at a time.

With our comprehensive Data Warehouse Architect job description template and real-world examples, you’re ready to make your move.

But why limit yourself?

Dig deeper with our job description generator. It’s your go-to tool for creating precision-crafted job listings or fine-tuning your resume to perfection.

Remember:

Every data model is a piece of a larger data infrastructure.

Let’s construct that future. Together.

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