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Data Solution Architect Jobs (NOW HIRING)

Triumph Services

Data Solution Architect

Henrico, VA · Remote

Senior Data Solutions Architect Location: U.S. - Remote - East Coast Hours Employment Type: Full-Time / Direct Hire Work Authorization: Must be authorized to work in the U.S. without sponsorship (U.S.

Vkore Solutions

Data Solution Architect

Santa Clara, CA · On-site

... as Solution Architect for at least 5+ years - relevant experience Should have worked hands-on as a developer, technical lead in the past Should be well-versed with Data Engineering - Python, SQL ...

CARE USA

DATA SOLUTION ARCHITECT

Atlanta, GA

CARE is looking for a Cloud solution architect to be part of our Digital team. This person will design, develop, maintain and support our Enterprise Data Warehouse & BI platform. RESPONSIBILITIES:

Bakertilly

Data Solution Architect

Milwaukee, WI

$123K - $234K/yr

Certifications in Azure Engineering (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert). * Experience with Azure DevOps or GitHub for code repositories and deployment.

EPAM Systems

Data Solution Architect

Manhattan, NY

The platform integrates a Snowflake-backed data lake, dual-graph knowledge architecture (Neo4j), and a governed LLM advisor, all exposed via streaming chat and voice. The stack includes a React ...

Bakertilly

Data Solution Architect

Frisco, TX

$123K - $234K/yr

Certifications in Azure Engineering (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert). * Experience with Azure DevOps or GitHub for code repositories and deployment.

Bakertilly

Data Solution Architect

Madison, WI

$123K - $234K/yr

Certifications in Azure Engineering (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert). * Experience with Azure DevOps or GitHub for code repositories and deployment.

Baker Tilly

Data Solution Architect

Frisco, TX · On-site

$123K - $234K/yr

Certifications in Azure Engineering (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert). * Experience with Azure DevOps or GitHub for code repositories and deployment.

Carrier

AI & Data Solution Architect

Atlanta, GA · On-site

About the Role Carrier is seeking a highly skilled and forward-thinking AI & Data Solution Architect to lead the design, architecture, and delivery of enterprise-scale Data, Analytics, and AI ...

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Data Solution Architect information

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$71

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How much do data solution architect jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for data solution architect in the United States is $71.23, according to ZipRecruiter salary data. Most workers in this role earn between $64.90 and $80.05 per hour, depending on experience, location, and employer.

What are Data Solution Architects?

Data Solution Architects are professionals who design and implement data management and analytics solutions for organizations. They are responsible for creating the architecture that allows businesses to collect, store, process, and analyze large amounts of data effectively and securely. Their work involves selecting appropriate technologies, ensuring data quality, integrating systems, and aligning solutions with business goals. They often collaborate with stakeholders, developers, and data engineers to deliver scalable and reliable data platforms.

How much money do data architects make?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Professionals with advanced skills in cloud platforms, data modeling, and database management tend to command higher salaries.

How does a Data Solution Architect typically collaborate with cross-functional teams during a project?

A Data Solution Architect regularly works alongside business analysts, data engineers, software developers, and project managers to design and implement scalable data solutions. They act as a bridge between technical and non-technical stakeholders, ensuring that business requirements are accurately translated into technical specifications. Throughout the project lifecycle, they lead architectural decision-making, provide guidance on data modeling, and review system integration points to maintain consistency and performance. Effective communication and a collaborative mindset are essential for success in this role.

What are the key skills and qualifications needed to thrive as a Data Solution Architect, and why are they important?

To thrive as a Data Solution Architect, you need expertise in data modeling, database design, and analytics, often supported by a degree in computer science or related fields. Proficiency with cloud platforms (such as AWS, Azure, or Google Cloud), data integration tools, and certifications like AWS Certified Solutions Architect are typically required. Strong communication, problem-solving, and stakeholder management skills help you bridge technical and business requirements. These capabilities are crucial for designing scalable, secure, and effective data solutions that meet organizational goals.

What is the difference between Data Solution Architect vs Data Engineer?

AspectData Solution ArchitectData Engineer
Required CredentialsBachelor's/Master's in CS, certifications like AWS, Azure, or GCPBachelor's/Master's in CS, certifications like AWS, Azure, or GCP
Work EnvironmentDesigns data solutions, collaborates with stakeholders, oversees architectureBuilds, maintains, and optimizes data pipelines and infrastructure
Employer & Industry UsageUsed in organizations needing data architecture design, often in tech, finance, healthcareUsed in organizations managing large-scale data processing, in tech, retail, finance

The Data Solution Architect and Data Engineer roles share similar credentials and industry usage. However, the architect focuses on designing data solutions and overseeing architecture, while the engineer implements and maintains data pipelines. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

More about Data Solution Architect jobs
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Data Solution Architect jobs near you
Infographic showing various Data Solution Architect job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $148,157 per year, or $71.2 per hour.
Data Solution Architect

Data Solution Architect

Noblesoft Technologies

California Pines, CA • Remote

Contractor

Posted 18 days ago

Job description

Job Role: Data Solution Architect
Location: Remote
 
Skill: Solution & Architect Experience, TOGAF Enterprise Architecture Foundation, GCP Dataflow, GCP Dataproc, GCP Big Query, GCP Composer, Airflow DAG creation, Teradata, SQL, Hadoop , Spark, Terraform, Terraform, Shell script,Gitlab, CICD Deployment tools like Jenkins, JIRA, 
 
Programming Language: Java & Scala, Apache Beam Framework, Python , Pyspark
 
JD:
Roles and Responsibilities of a Data Solution Architect:
Data Modeling and Design:-
 
  • Designing and building data models to meet the strategic data needs of the organization. 
  • Creating conceptual and logical data models. 
  • Ensuring data models align with business requirements and technical standards. 

Data Architecture and Strategy:-
 
  • Developing and implementing data architecture and strategy to support business goals. 
  • Ensuring data is integrated, accessible, and secure. 
  • Identifying and implementing solutions for data integration and data warehousing. 

Data Management and Governance:-
 
  • Developing and enforcing data policies and standards. 
  • Ensuring data quality, accuracy, and consistency. 
  • Implementing data security measures to protect sensitive information.

Collaboration and Communication:-
 
  • Working closely with business users, data analysts, and IT teams to understand their needs and requirements. 
  • Communicating technical solutions to both technical and non-technical audiences. 
  • Presenting design reports and architectural diagrams. 

Technical Implementation and Support:-
 
  • Designing and implementing data solutions using various technologies and tools. 
  • Monitoring and maintaining data infrastructure to ensure optimal performance. 
  • Providing guidance and support for data migrations and upgrades.

Continuous Improvement:-
 
  • Staying up-to-date with the latest data technologies and trends. 
  • Identifying areas for improvement in current systems and processes. 
  • Proposing changes to the existing architecture to enhance performance and scalability.

Other Responsibilities:-
 
  • Identifying installation solutions for new databases. 
  • Determining the requirements for a new database. 
  • Supervising and guiding development teams. 
  • Writing technical documentation and drawing diagrams. 
  • Auditing databases regularly to maintain quality