1

Data Solution Architect Jobs in Arizona (NOW HIRING)

Solution Architect - AI & Data

Phoenix, AZ ยท On-site

$62.50 - $82.50/hr

Solution Architect - AI & Data, Expert Services As part of the Expert Services AI Practice, the Solution Architect - AI & Data will serve as a senior strategic and technical lead, reshaping how ...

Solution Architect - AI & Data

Phoenix, AZ ยท On-site +1

$62.50 - $82.50/hr

Solution Architect - AI & Data, Expert Services As part of the Expert Services AI Practice, the Solution Architect - AI & Data will serve as a senior strategic and technical lead, reshaping how ...

Databricks solution architect

Chandler, AZ ยท On-site

$64.25 - $84.75/hr

Sr Solution Architect - Finance Data Integration Platform (Databricks, ETL, Azure) Responsibilities - What you will be doing? As the Finance Integration Platform Solution Architect, you will:

Solution Architect (21211)

Phoenix, AZ ยท On-site

$58.25 - $76.50/hr

Architect end-to-end enterprise solutions across applications, mobile, data, cloud, and integration domains. * Partner with product teams to conduct market research, competitive assessments ...

AI Solution Architect

Tempe, AZ ยท On-site

$60.25 - $79.50/hr

AI Solution Architect - Agentic & Generative AI Locations: Austin, Tx | Tempe, Az | Charlotte, NC ... Data quality validation mechanisms * Integrate AI evaluation and governance gates into CI/CD ...

Solution Architect Design and guide enterprise-scale solutions that leverage modern software ... Design and oversee end-to-end machine learning pipelines, including data collection, preprocessing ...

Solution Architect

Scottsdale, AZ ยท On-site

$190K - $191K/yr

Solution Architect Design and guide enterprise-scale solutions that leverage modern software ... Design and oversee end-to-end machine learning pipelines, including data collection, preprocessing ...

Salesforce Solution Architect

Tucson, AZ ยท On-site

$59.50 - $78.50/hr

Salesforce Solution Architect The Opportunity: At a certain point, experience-based system design ... You'll lead architectural and technical strategy across CRM, cloud, and data systems to help ...

... involving Data integration, Cloud integration, Security, Real-time integration, Migration ... solutions and architectural frameworks. * Experience in API Development and Defining API and ...

Solution Architect - Snowflake

Snowflake, AZ ยท On-site

$150 - $190/hr

* Snowflake architecture and implementation Solution Architect - Snowflake Snowflake InvestmentData ... Domain Focus Investment data,public/private assets, historical backfill, portfolio reporting ...

New

Solution Architect I

Phoenix, AZ ยท On-site

$59.75 - $78.75/hr

... data research. As a Solutions Architect I, you will support and optimize the core infrastructure enabling parallel computation across our Slurm-managed CPU clusters, Warewulf-provisioned compute ...

Establish and uphold standards for solution design, UX flow, data modeling, documentation, and platform governance. * Champion architecture that reduces technical debt, improves performance, and ...

This role defines and enforces standards for scalable solution design, integration patterns, data ... Designs solution architecture in large or complex programs, including system and application ...

next page

Showing results 1-20

Data Solution Architect information

See Arizona salary details

$10

$66

$88

How much do data solution architect jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data solution architect in Arizona is $66.38, according to ZipRecruiter salary data. Most workers in this role earn between $60.48 and $74.62 per hour, depending on experience, location, and employer.

What is a data solution architect?

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 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.

How much does a data solution architect get paid?

A data solution architect's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data management tools may earn higher compensation.

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.

Are data solution architects in high demand?

Data solution architects are in high demand due to the increasing reliance on data-driven decision-making and digital transformation across industries. They typically require expertise in cloud platforms, data modeling, and architecture design, making their skills highly sought after in the job market.

Is a data solution architect a high paying job?

A data solution architect is generally considered a high-paying role within the IT and data management fields, with salaries often reflecting advanced technical skills, experience, and certifications such as cloud or data architecture credentials. Compensation varies by industry, location, and company size but typically exceeds average IT salaries due to the specialized expertise required. The role often involves designing complex data systems, working with tools like cloud platforms and data modeling, which contribute to higher earning potential.
What job categories do people searching Data Solution Architect jobs in Arizona look for? The top searched job categories for Data Solution Architect jobs in Arizona are:
What are popular job titles related to Data Solution Architect jobs in AZ? For Data Solution Architect jobs in AZ, the most frequently searched job titles are:
Infographic showing various Data Solution Architect job openings in Arizona as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $138,065 per year, or $66.4 per hour.

$85.18 - $103/hr

Full-time

Re-posted 15 days ago


Job description

Data Solution Architect 4 | Mesa, Arizona, United States
I ndotronix is seeking an : Data Solution Architect 4
Location :Mesa, AZ
Hybrid 3 days onsite per week
Duration: 12 months, possible extension
No Security Clearance Required
Shift:First
Start Time:7:30 AM
End Time: 4:00 PM
Position Summary
Partner with Tools, Materials Process & Physics, and IT teams to refine and enhance a baseline ontology and data model for Process Specifications (PDF/XML). Support the standardization, structuring, and management of engineering process specification content by developing taxonomies, data models, and requirements for content authoring and management tools. Drive the transition from document-based specifications to model-based representations that improve data accessibility, consistency, and reuse across engineering programs.
Responsibilities
  • Refine and improve a baseline ontology and data model for Process Specifications from PDF/XML sources.
  • Develop and enhance taxonomies to standardize engineering process specification content.
  • Survey and evaluate a wide range of Process Specifications to determine optimal content standardization approaches.
  • Assess and apply appropriate refactoring strategies, including relaxing or tightening standardization requirements where needed.
  • Expand Process Specifications Ontology to identify and capture process parameters.
  • Expand ontology models to capture requirements contained in flag notes, tables, and all specification document sections.
  • Partner with Tools and IT teams to develop and maintain data models for Process Specifications.
  • Define and communicate requirements for developing and enhancing authoring and content management tools.
  • Support the transition from document-based requirements to model-based engineering approaches.
  • Collaborate in an Agile environment with evolving requirements and priorities.
Required Skills
  • Familiarity with engineering data and a basic understanding of the engineering lifecycle, particularly process specifications.
  • Proficiency in structured knowledge representations, including conceptual object models and physical data models.
  • Experience with Extensible Markup Language (XML), Resource Description Framework (RDF), and graph databases.
  • Understanding of ontology development, taxonomy management, and data modeling concepts.
  • Knowledge of Model-Based Systems Engineering (MBSE) methodologies.
  • Ability to operate effectively in Agile development environments.
  • Strong analytical, problem-solving, and innovation skills.
  • Ability to adapt to evolving requirements and develop solutions for complex technical challenges.
Preferred Skills
  • Experience working with engineering specifications, requirements management, or technical data standards.
  • Knowledge of content authoring and content management systems.
  • Experience supporting digital engineering or model-based transformation initiatives.
  • Familiarity with semantic technologies and knowledge graph implementations.
Education / Experience
  • Education/experience typically acquired through advanced technical education (e.g., Bachelor's degree) and typically 9 or more years of related work experience , or an equivalent combination of technical education and experience (e.g., PhD with 4+ years of related experience, Master's degree with 7+ years of related experience, or 13+ years of related experience).

Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US