Solutions Architect

Job Title : Solutions & Data Architect

Location : Phoenix, AZ

Job Type : Full Time

Compensation : $180,000 - $200,000 (dependent on experience)

Benefits : The position is eligible for medical, dental, vision, and life insurance coverage, & PTO

Position Summary

We are seeking an experienced Enterprise Solution Architect to lead the design and delivery of complex business applications, integrations, and data platforms. This individual will guide the architecture of scalable, secure, and high-performing technology ecosystems across the organization. The ideal candidate will have deep expertise in modern data platforms and cloud technologies, along with strong experience in application development frameworks and mobile solutions.

Key Responsibilities

• Lead the architecture of end-to-end solutions spanning enterprise applications, integrations, and data ecosystems.
• Design scalable, resilient, and secure system architectures supporting a wide range of business functions.
• Develop and maintain the enterprise data strategy and architectural roadmap to support long-term growth and modernization.
• Establish standards and governance for data quality, lineage, metadata management, and compliance.
• Build and refine cloud-based and hybrid data architectures leveraging modern storage, processing, and analytics platforms.
• Maintain enterprise data modeling standards and documentation across conceptual, logical, and physical layers.
• Collaborate with product and engineering teams to design custom solutions using modern development frameworks and cloud services.
• Lead the architectural direction for mobile applications leveraging native or cross-platform technologies integrated with enterprise systems.
• Create robust integration strategies using APIs, data pipelines, real-time streaming, and automation tools to connect legacy and modern systems.
• Oversee data migration initiatives from legacy platforms to modern cloud or hybrid environments, ensuring continuity and accuracy.
• Establish architectural patterns that support AI / ML initiatives, including data preparation, model lifecycle integration, and deployment.
• Define best practices for performance, scalability, maintainability, and operational readiness.
• Ensure alignment with cybersecurity standards, data-privacy requirements, and organizational controls.
• Champion architectural governance processes to maintain consistency across platforms and teams.

Qualifications