Solution Architect/Data Engineer (AI)

Location: Based at the Corporate Headquarters in Wood Dale, Illinois, with a planned relocation to the Merchandise Mart in Chicago in early 2027; remote opportunity possible with occasional travel to the office for important in-person meetings.

Salary: $150,000–$170,000 annually, plus bonus eligibility.

Company

hirify.global is a global aerospace and defense aftermarket solutions company serving commercial and government customers through parts supply, integrated solutions, repair and engineering, and expeditionary services.

What you will do

• Define architecture and technical roadmaps for advanced analytics platforms.
• Design scalable data, integration, analytics, and AI solutions, including standards for data models, APIs, governance, security, and platform design.
• Build and maintain pipelines integrating internal and external data sources, and develop scalable data models for reporting, analytics, and AI applications.
• Develop data products, dashboards, analytical datasets, forecasting capabilities, and decision-support assets.
• Ensure data quality, reliability, performance, and operational supportability.
• Partner with commercial, operations, technology, business, and executive stakeholders to translate business problems into prioritized technical solutions and communicate tradeoffs.

Requirements

• 7+ years of experience in data engineering, solution architecture, analytics engineering, or related roles.
• Strong experience designing and building cloud-based data analytics solutions.
• Hands-on experience with advanced analytical SQL, PySpark/Python, Java Spring Boot, data integration and ETL/ELT, Spark/Databricks, Snowflake, Kafka, cloud-native services, data modeling and warehousing, APIs, and system integrations.
• Experience with modern analytics and business intelligence platforms, providing technical direction across data pipelines, modeling, APIs, infrastructure, and UI interaction patterns without directly owning implementation.
• Ability to work independently in a fast-moving environment.
• Strong communication and stakeholder management skills.
• Ability to work in a traditional office environment and adapt to the physical demands of sitting, standing, bending, reaching, and moving around the facility.

Nice to have

• Experience with Azure data and analytics services.
• Experience building analytics, forecasting, or AI-enabled solutions.
• Familiarity with aerospace, manufacturing, supply chain, or industrial businesses.
• Experience in both architecture and hands-on engineering roles.
• Experience building data products from concept through production deployment.

Culture & Benefits

• Full-time exempt position in an office setting, with a remote option requiring occasional office travel.
• Medical, dental, vision, life, and AD&D insurance.
• 401(k) retirement plan with company match.
• Paid time off, holiday pay, and a competitive bonus package.
• Professional development and career advancement opportunities.
• Reasonable workplace accommodations are available through all stages of hiring.