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Data Solutions Architect Jobs (NOW HIRING)

ACI Infotech

Data Solutions Architect

Enterprise Data Solution Architect Atlanta, GA(Remote) Full-time role Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications:

Grocery Outlet

Data Solutions Architect

Emeryville, CA · On-site

$140K - $155K/yr

The Data Solution Architect will help define strategy both within and outside of SAP, drive design and technical implementation, and architect innovative solutions in close collaboration with the ...

Spaulding Ridge

Data Solutions Architect

Chicago, IL · On-site

$116K - $223K/yr

Data Solutions Architect We are looking for a Data Solutions Architect to join our Data Solutions team! As a Data Solutions Architect, you'll be responsible for pre-sales, estimation, scoping ...

Agelix Consulting

Data Solutions Architect

Seattle, WA · On-site

Data Solutions Architect Location: Seattle, WA Role Overview: You are the technical backbone of the data ecosystem. You will design and implement the robust, scalable environments required to move ...

Wisconsin

Data Solutions Architect

Madison, WI · Remote

The Data Solutions Architect provides senior technical leadership responsible for designing, implementing, and governing the architecture of WHDH's data platform. This role ensuresthe secure ...

MANSCAPED

Data Solutions Architect

Who We're Looking For - Reporting to the VP of Strategy, Insights & Analytics , we are seeking a Data Solutions Architect to serve as the primary architect and guardian of our enterprise data ...

MANSCAPED

OR

Who We're Looking For - Reporting to the VP of Strategy, Insights & Analytics , we areseeking a Data Solutions Architect to serve as the primary architect and guardian of our enterprise data ...

OTSI

AI & Data Solutions Architect

Seattle, WA · Remote

OTSI (Object Technology Solutions, Inc) has an immediate opening for an AI & Data Solutions Architect Location: Seattle (Remote, some travel required) We are seeking a highly technical, client-facing ...

OTSI

AI & Data Solutions Architect

Seattle, WA · On-site

OTSI (Object Technology Solutions, Inc) has an immediate opening for an AI & Data Solutions Architect Location: Seattle (Remote, some travel required) We are seeking a highly technical, client-facing ...

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All JobsData Solutions Architect Jobs

Data Solutions Architect information

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$11

$71

$94

How much do data solutions architect jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for data solutions 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 do Data Solutions Architects typically collaborate with cross-functional teams during large-scale data projects?

Data Solutions Architects play a pivotal role in bridging gaps between data engineers, business analysts, and stakeholders during large-scale projects. They translate business requirements into technical solutions, ensuring alignment between architecture strategies and organizational goals. Regular collaboration occurs through design sessions, code reviews, and project meetings, where they provide expertise on data modeling, integration, and system scalability. This collaborative environment helps ensure that data solutions are robust, scalable, and meet both technical and business needs.

Are data architects in high demand?

Data architects are in high demand due to the increasing importance of data management and analytics across industries. They typically require strong skills in database design, cloud platforms, and data modeling, with certifications like TOGAF or AWS often preferred. The role offers good job stability and competitive salaries as organizations prioritize data-driven decision-making.

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 strategies, and collaborate with teams to ensure data solutions are scalable and efficient, often using tools like cloud platforms and data modeling techniques.

What is a Data Solutions Architect?

A Data Solutions Architect is a professional responsible for designing, building, and overseeing data solutions that support business needs. They create the technical blueprint for how data is collected, stored, integrated, and accessed across an organization. Their work involves choosing appropriate technologies, ensuring data quality and security, and aligning data systems with business goals. Data Solutions Architects often collaborate with data engineers, analysts, and other stakeholders to deliver scalable and efficient data infrastructures.

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. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher compensation, often exceeding $160,000 annually.

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

AspectData Solutions ArchitectData Engineer
Required CredentialsBachelor's/Master's in CS, certifications like AWS, AzureBachelor's in CS, certifications like Hadoop, Spark
Work EnvironmentDesigning data solutions, collaborating with stakeholdersBuilding and maintaining data pipelines, coding
Employer & Industry UsageTech, finance, healthcare, consultingTech companies, data-driven organizations
Search & Comparison IntentUnderstanding strategic data roles, designing solutionsTechnical implementation, data pipeline development

The Data Solutions Architect focuses on designing comprehensive data solutions and aligning them with business needs, often working closely with stakeholders. In contrast, Data Engineers primarily build and maintain the data infrastructure and pipelines. Both roles require technical skills and certifications but differ in scope and responsibilities within data teams.

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

To thrive as a Data Solutions Architect, you need expertise in data modeling, database design, and systems integration, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), data warehousing tools, and relevant certifications like AWS Certified Solutions Architect are highly valuable. Strong problem-solving, communication, and stakeholder management skills help you translate business needs into scalable technical solutions. These skills ensure that data architectures are robust, secure, and aligned with organizational goals.

How much does a data architect get paid?

Data Solutions Architects typically earn between $100,000 and $160,000 annually, 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 $180,000.
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What states have the most Data Solutions Architect jobs? States with the most job openings for Data Solutions Architect jobs include:
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Data Solutions Architect jobs near you
Infographic showing various Data Solutions Architect job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 1% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% 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 13 days ago

Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

173rd of 298 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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