Data Solution Architect Job Description [Updated for 2025]

In the digital era, the significance of data solution architects has taken center stage.

As technology continues to evolve, there is an escalating demand for skilled individuals who can design, implement, and maintain our sophisticated data infrastructure.

But let’s delve deeper: What exactly is expected from a data solution architect?

Whether you are:

• A job aspirant attempting to grasp the core of this role,
• A hiring manager defining the perfect candidate,
• Or simply fascinated by the intricate realm of data solution architecture,

You’ve come to the right place.

Today, we present a tailor-made data solution architect job description template, designed for effortless posting on job boards or career sites.

Let’s dive right into it.

Data Solution Architect Duties and Responsibilities

Data Solution Architects oversee the design and implementation of data solutions and systems for businesses.

They use their expert knowledge of database management systems, programming languages, and tools and methodologies to create and implement effective data solutions.

Here are the duties and responsibilities of a Data Solution Architect:

• Assess the needs of the client and design data solutions that meet those needs
• Develop, test, and implement data solutions including databases, data warehousing, and big data
• Recommend upgrades for existing data systems
• Develop comprehensive data models and database designs to be used by data analysts and scientists
• Create diagrams, flowcharts, and models that illustrate the data flow and storage
• Ensure the integrity, security, and seamless operation of all data solutions
• Document every aspect of the system or application as a reference for future upgrades and maintenance
• Coordinate with other IT professionals and stakeholders to ensure the compatibility of all systems and data
• Stay informed about emerging technologies and data trends

 

Data Solution Architect Job Description Template

Job Brief

We are seeking a skilled Data Solution Architect to lead our data architecture and management strategies.

The Data Solution Architect will collaborate with various teams to design, develop, and implement data models, systems, and technologies.

Responsibilities include analyzing existing data architecture, developing strategic solutions for data storage and retrieval, and collaborating with data engineers and scientists to translate business needs into technical specifications.

Our ideal candidate has a deep understanding of data management, excellent analytical skills, and experience with cloud platforms like AWS, Azure, or Google Cloud.

 

Responsibilities

• Design and implement effective database solutions and models to store and retrieve data
• Examine and identify database structural necessities by evaluating client operations and applications
• Assess database implementation procedures to ensure they comply with internal and external regulations
• Oversee the migration of data from legacy systems to new solutions
• Collaborate with IT team members to establish business and system requirements for new technology implementations
• Ensure all database programs meet company and performance requirements
• Provide operational support for management systems
• Recommend solutions to improve new and existing database systems
• Educate staff members through training and individual support
• Offer support by responding to system problems in a timely manner

 

Qualifications

• Proven experience as a Data Solution Architect, Data Scientist, Data Analyst or similar role
• In-depth understanding of database structure principles
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Proficiency in SQL, Oracle, and other data systems
• Expertise in cloud services (AWS, Google Cloud, Azure) and database architecture
• Ability to solve complex IT issues
• Strong communication skills and ability to translate complex data into comprehensible ideas
• BSc in Computer Science, Computer Engineering or relevant field

 

Benefits

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

 

Additional Information

• Job Title: Data Solution Architect
• Work Environment: Office setting with options for remote work. Travel may be required for team collaboration or client consultations.
• Reporting Structure: Reports to the Director of Data Management or Chief Technology Officer (CTO).
• Salary: Salary is dependent on candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $160,000 minimum to $250,000 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 Solution Architect Do?

Data Solution Architects typically work for technology companies, software service agencies or are self-employed as consultants.

They are an integral part of the IT team and work closely with Data Analysts, Data Scientists, and other IT professionals.

Their primary role is to design, create, and manage the data architecture of an organization.

They create blueprints for data management systems to integrate, centralize, protect, and maintain the data sources.

Data Solution Architects are involved in data pre-processing, data cleaning, data integration, and data transformation.

They determine how to organize, store, and present data according to specific business needs or project requirements.

They also develop database design and architecture documentation for the management and executive teams.

In addition, they ensure that the design and implemented systems meet the organization’s business needs and strategic goals.

Data Solution Architects are responsible for ensuring data solutions are stable, secure, and optimized for performance.

They often work with complex data structures and help to evaluate, select, and implement big data tools and frameworks required to provide requested capabilities.

They may also be responsible for modifying existing databases or data architecture to improve their functionality or accommodate new requirements.

This could involve creating new data procedures, improving data reliability, efficiency, and quality, or refining the overall data strategy of a company.

 

Data Solution Architect Qualifications and Skills

A proficient Data Solution Architect should possess the necessary skills and qualifications that meet your job requirements, such as:

• Expertise in data modeling and database design, understanding the full data lifecycle across a wide range of applications and platforms.
• Knowledge in SQL, ETL processes, and related technologies that facilitate data extraction, transformation, and loading.
• Strong analytical and problem-solving skills to manage complex data infrastructure issues and optimize data solutions.
• Excellent communication skills to effectively collaborate with stakeholders, developers, and other team members, explaining complex data concepts in a clear manner.
• Experience with big data tools and platforms (Hadoop, Spark, etc.) and data visualization tools (Tableau, PowerBI, etc.) to facilitate data analysis and interpretation.
• Understanding of cloud-based data solutions and architectures, such as AWS, Google Cloud, or Azure.
• Ability to design and implement data governance strategies to ensure data integrity, quality, and compliance.
• Proven leadership skills to manage teams and projects, guiding them towards the successful completion of data solution projects.

 

Data Solution Architect Experience Requirements

Candidates for the role of Data Solution Architect usually have a minimum of 5 to 7 years of experience in data management or information technology.

This can include roles such as Data Analyst, Database Developer, Data Engineer, or related positions, where they acquire a foundational understanding of data storage, management, and analytics.

They should also have experience in software development and a deep understanding of various programming languages, data modelling, and data visualization tools.

Exposure to cloud computing environments and data warehouse technologies is also commonly sought after.

For advanced or senior positions, candidates often have 10 or more years of experience.

These individuals have typically spent a significant part of their career designing and implementing data solutions and may have led teams or projects.

Experience with specific data architecture frameworks, machine learning, AI, and big data technologies can be critical.

Furthermore, a proven track record of translating business needs into data solutions is essential.

In some cases, firms may require Data Solution Architects to have experience in their industry, as understanding the specific data needs and challenges of an industry can be a critical part of designing effective data solutions.

 

Data Solution Architect Education and Training Requirements

Data Solution Architects typically need a bachelor’s degree in computer science, information systems, or a related field.

Advanced positions may require a master’s degree in data science or business administration with a concentration in technology.

In-depth knowledge of database structure systems and data mining is essential for this role.

They should also have a solid understanding of coding and analytical skills, with a firm grasp on languages such as SQL, XML, and Oracle.

Experience with cloud services such as AWS, Google Cloud, or Microsoft Azure is highly desirable.

Familiarity with machine learning and AI is also beneficial.

Many Data Solution Architects earn certifications to enhance their skills and marketability.

Certifications include Microsoft Certified: Azure Data Engineer Associate, AWS Certified Big Data Specialty, Google Cloud Certified – Professional Data Engineer, and others.

Continued learning and staying updated with the latest industry trends and advancements is crucial in this fast-evolving field.

Thus, participation in relevant workshops and seminars is encouraged.

Besides academic qualifications, soft skills like project management, communication, and a problem-solving attitude are essential.

 

Data Solution Architect Salary Expectations

A Data Solution Architect can expect to earn an average salary of $133,590 (USD) per year.

However, this figure may fluctuate based on factors such as experience, specific technical skills, level of education, and geographical location.

 

Data Solution Architect Job Description FAQs

What skills does a Data Solution Architect need?

Data Solution Architects must have a strong understanding of data infrastructure and database design.

They should be proficient in various programming languages such as Python, Java, and SQL.

These professionals should have strong analytical and problem-solving skills to design and implement data solutions that meet business needs.

They should also have excellent communication and leadership skills to coordinate with various teams and stakeholders.

 

Do Data Solution Architects need a degree?

Yes, Data Solution Architects typically need a bachelor’s degree in Computer Science, Information Systems, or a related field.

However, many employers prefer candidates with a master’s degree in these areas or an MBA with a concentration in information systems.

Additional qualifications such as certifications in specific programming languages or data management systems can also be beneficial.

 

What should you look for in a Data Solution Architect’s resume?

Look for a solid educational background and proven experience in data architecture and management.

It’s beneficial if the candidate has worked on projects involving data modelling, ETL processes, SQL, and NoSQL databases.

Also, check if they have experience with cloud platforms like AWS, Google Cloud, or Azure.

Knowledge of data governance principles and best practices is a plus.

 

What qualities make a good Data Solution Architect?

A good Data Solution Architect should have a strategic mindset and be able to align data architecture with business goals.

They should have a keen eye for detail and be thorough in their approach to design and implementation.

Strong communication and leadership skills are also essential as they often have to collaborate with various teams and explain complex concepts to non-technical stakeholders.

Additionally, they should have a passion for staying updated with the latest industry trends and technologies.

 

Is it difficult to hire a Data Solution Architect?

Hiring a Data Solution Architect can be challenging due to the high demand for these professionals and the specific set of skills required.

Offering competitive salaries, opportunities for professional development, and challenging projects can attract top talent in this field.

 

Conclusion

And there we have it.

Today, we’ve unraveled the intricate details of what it truly entails to be a data solution architect.

Surprised?

It’s not just about managing data.

It’s about sculpting the future of data management and technology, one data strategy at a time.

With our go-to data solution architect job description template and real-world examples, you’re ready to make your mark.

But why limit yourself?

Delve deeper with our job description generator. It’s your pathway to meticulously crafted job listings or refining your resume to perfection.

Remember:

Every data solution is a part of the broader technological landscape.

Let’s sculpt that future. Together.

How to Become a Data Solution Architect (Complete Guide)

The Paycheck Elite: Exclusive Insights into the Highest Paying Careers!

The Work Trend Wave: Jobs That Are Making Big Moves

Tech’s Unconquerable Territory: Jobs That Remain Human

Workday Winners: The Most Satisfying Jobs for Fulfillment