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Data Solution Architect Jobs (NOW HIRING)

Allied Solutions

Data Solution Architect

Carmel, IN · On-site

The Data Solutions Architect is a strategic role within the organization, responsible for designing data and cloud technology solutions that meet business requirements while adhering to best ...

Yochana

Data Solution Architect

Saint Louis, MO · On-site

Data Solution Architect The Data Solution Architect (DSA) is responsible for reviewing/assessing existing data architecture and platform components. Also responsible for designing, implementing and ...

Diverse Lynx

Data Solution Architect

Saint Louis, MO · On-site

Data Solution Architect The Data Solution Architect (DSA) is responsible for reviewing/assessing existing data architecture and platform components. Also responsible for designing, implementing and ...

Diverse Lynx

Data Solution Architect

The Data Solution Architect (DSA) is responsible for reviewing/assessing existing data architecture and platform components. Also responsible for designing, implementing and managing the data ...

Yochana

Data Solution Architect

The Data Solution Architect (DSA) is responsible for reviewing/assessing existing data architecture and platform components. Also responsible for designing, implementing and managing the data ...

Keylent Inc

Data Solution Architect

Data Solution Architect We are looking for a Solution Architect to join our remote team. This role will be responsible for providing solution architecture, configuration details and conduct proof of ...

E-Solutions

Data Solution Architect

Data Solution Architect Skills: DWBI, Big Data, Azure, AWS, GCP, Snowflake, Databricks, 2 Hyper scalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam ...

Keylent Inc

Data Solution Architect

Columbus, OH · On-site

Data Solution Architect Columbus, OH This role will be responsible for providing solution architecture, configuration details and conduct proof of concepts required to setup and operationalize modern ...

Baker Tilly US

Data Solution Architect

Madison, WI · On-site

They are seeking a Data Solution Architect to design and implement scalable data engineering solutions, develop data pipelines, and collaborate with analytics teams to integrate data assets into ...

EPAM Systems

Data Solution Architect

Manhattan, NY · On-site

They are seeking a Data Solution Architect to own the end-to-end architecture from data assets to AI-driven user experience, ensuring coherent contracts and verifiable paths across all layers.

Omni Inclusive

Data Solution Architect

Saint Louis, MO · On-site

Mandatory skills: 1. 15+ years of experience in data strategy, architecture, data integration with ... to design solution including data flow diagrams, process diagrams, use case models 11. Client ...

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:

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Data Solution Architect information

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$11

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How much do data solution architect jobs pay per hour?

As of Jun 28, 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.

How much do data architects get paid?

Data architects typically earn a median annual salary ranging from $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 annually.

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.

Is Solution Architect replaced by AI?

A Data Solution Architect designs and oversees data systems and solutions, and while AI tools can automate certain tasks, they do not replace the need for human expertise in designing complex data architectures. Solution Architects require skills in data modeling, cloud platforms, and stakeholder communication, which are not fully replaceable by AI at this time.

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.

Is Solution Architect a high paying job?

A Solution Architect is typically a well-compensated role in the IT industry, with salaries often above average for technology positions. Compensation depends on experience, industry, and location, and the role often requires strong technical skills, certifications, and experience in designing complex systems.

What does a data solutions architect do?

A data solutions architect designs and implements data management systems to meet organizational needs, focusing on data integration, storage, and security. They evaluate technologies, develop data models, and collaborate with teams to ensure data solutions support business objectives, often using tools like cloud platforms and data pipelines.
More about Data Solution Architect jobs
What cities are hiring for Data Solution Architect jobs? Cities with the most Data Solution Architect job openings:
What states have the most Data Solution Architect jobs? States with the most job openings for Data Solution Architect jobs include:
What are popular job titles related to Data Solution Architect jobs? For Data Solution Architect jobs, the most frequently searched job titles are:
Data Solution Architect jobs near you
Infographic showing various Data Solution Architect job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, 10% Part Time, 2% Temporary, 3% Contract, and 2% Nights. 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 Solutions Architect

Data Solutions Architect

Allied Solutions LLC

Carmel, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Allied Solutions rating

7.8

Company rating: 7.8 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

100th of 263 rated insurance

Job description

The Data Solutions Architect is a strategic role within the organization, responsible for designing data and cloud technology solutions that meet business requirements while adhering to best practices and aligning with the enterprise data architecture. The Data Solutions Architect acts as the bridge between business objectives and technology solutions, ensuring that the data capabilities and data platform created are robust, scalable, and secure. This position requires a comprehensive understanding of both business processes and technical capabilities. The Data Solutions Architect will be expected to be hands-on technically, but also present to leadership and lead projects.
Job Duties and Responsibilities:
Solutions Design (25%)
  • Analyze Business Requirements: Work closely with stakeholders to understand functional and non-functional requirements for the data solution.
  • Define Architecture Components: Identify and design data components, including data flow, integration points, interfaces, and overall architecture.
  • Create Architecture Diagrams: Develop high-level and detailed diagrams (e.g., flowcharts, sequence diagrams, system interaction models) to represent the solution architecture.
  • Select Appropriate Technologies: Choose frameworks, languages, and tools that align with the architecture, ensuring they meet both current needs and scalability requirements.
  • Ensure Scalability and Security: Design the solution to be scalable, reliable, and secure, incorporating security standards and performance considerations.
  • Assess the Impact of Architectural Decisions: Evaluate how design choices impact current and future systems, ensuring they fit within the broader enterprise architecture.

Stakeholder Collaboration (20%)
  • Gather Requirements with Stakeholders: Facilitate workshops and meetings with business analysts, project managers, developers, and other stakeholders to understand project needs.
  • Communicate Design Decisions: Explain architectural decisions and solution designs to non-technical stakeholders in an understandable way, including how the design aligns with business goals.
  • Coordinate with Development Teams: Work with development leads to align project timelines, resource allocation, and technical requirements.
  • Participate in Project Meetings: Attend regular project updates and stand-ups to align with project status and provide architecture-related guidance.
  • Resolve Conflicts: Address and resolve any misunderstandings or misalignments between technical and business stakeholders regarding project scope and design.

Technical Leadership and Oversight (20%)
  • Provide Technical Guidance: Offer ongoing guidance to the development team, helping them align with the data solution architecture.
  • Code Reviews and Quality Assurance: Review code and design work to ensure compliance with architectural standards and best practices.
  • Assist in Troubleshooting and Debugging: Help resolve any technical challenges, especially those related to architectural constraints or requirements.
  • Enforce Best Practices: Ensure the use of best practices in areas like coding standards, API design, integration methods, and performance optimization.
  • Evaluate Technical Debt: Identify and address technical debt areas to ensure the maintainability and scalability of the solution.

Documentation (15%)
  • Prepare Architecture Documentation: Create and maintain detailed documentation that outlines the architecture, including design specifications and component details.
  • Maintain Technical Roadmaps: Develop roadmaps for technical implementation and deployment and update these based on project evolution.
  • Document Key Decisions and Assumptions: Record major architectural decisions, assumptions, and rationales to provide context for future reference.
  • Create User Guides and Training Materials: As necessary, prepare materials to help other teams understand and use the architecture effectively.
  • Update and Archive Documentation: Ensure all documentation is current and accessible, archiving outdated materials as the project progresses.

Evaluation of Technologies, Training and Prototyping (10%)
  • Research New Tools and Frameworks: Continuously research emerging tools, libraries, and frameworks that could improve the solution architecture.
  • Develop Proof of Concepts (POCs): Create small-scale prototypes to test and validate new technologies or architecture approaches.
  • Evaluate Technology Fit: Assess whether new technologies fit within the existing environment and can meet the organization's needs.
  • Identify Potential Use Cases: Determine how new technologies could enhance current or future solutions.
  • Collaborate on Tool Selection: Work with procurement or technical teams to select and adopt new tools or platforms.
  • Stay Updated on Industry Trends: Keep up with industry news, emerging technologies, and architecture best practices through conferences, courses, or professional networks.
  • Conduct Knowledge Sharing Sessions: Organize workshops or training sessions to share architectural insights with other teams.
  • Contribute to Internal Standards and Best Practices: Help develop and refine internal standards and best practices, ensuring they are aligned with current industry standards.

Risk Management and Problem Solving (10%)
  • Identify Architectural Risks Early: Analyze and highlight potential risks, including security, scalability, and performance risks, that may impact the project's success.
  • Develop Mitigation Strategies: Propose and implement solutions to mitigate risks, including alternative designs or contingency plans.
  • Troubleshoot Architectural Issues: Address and resolve technical challenges that impact architecture, including integration problems or performance bottlenecks.
  • Monitor Project Progress for Risks: Regularly review project progress to identify and address emerging risks proactively.
  • Maintain Compliance with Standards: Ensure the architecture adheres to industry standards, legal regulations, and internal governance requirements.

Qualifications (Education, Experience, Certifications & KSA):
  • Bachelor's or Master's degree in computer science, Information Technology, or a related field or equivalent work experience.
  • 7+ years of experience in IT, with at least 2+ years in a data architecture role.
  • Proven track record of designing, implementing, and managing complex data systems, pipelines, and solutions.
  • Proficiency in architecture frameworks such as TOGAF, Zachman, or similar.
  • Deep knowledge of cloud platforms (e.g., AWS, Azure, GCP) and cloud-native solutions.
  • Strong experience with medallion architectures, APIs, data modeling, integration patterns, data governance, and enterprise data platforms.
  • Knowledge of various technologies, such as Java, C#, Python, Git, Informatica, AWS Glue, Lambda, Spark, Hadoop, OLAP, Windows, Snowflake, and Oracle.
  • Experience with databases (SQL and NoSQL), DevOps tools, CI/CD pipelines, and containerization technologies like Docker and Kubernetes.
  • Excellent analytical and problem-solving abilities.
  • Strong communication and interpersonal skills for working with diverse stakeholders.
  • Ability to explain complex technical concepts to non-technical audiences.
  • Strong organizational skills and attention to detail.
  • Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or similar credentials are preferred but not required.

We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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