Solution Architect/Data Engineer

AAR Corp • Wood Dale, IL

2d • $150,000 - $170,000 • Onsite

About The Position

We are seeking a Solution Architect & Data Engineer to help design, build, and scale a strategic market analytics platform serving the global aerospace aftermarket. This role blends solution architecture, data engineering, analytics, and stakeholder engagement. The successful candidate will be responsible for translating business requirements into scalable technical solutions while remaining hands-on in the development of data pipelines, data models, analytics products, and AI-enabled capabilities. The ideal candidate is equally comfortable discussing business strategy with stakeholders, designing system architecture, and writing production-quality code.
This position is based at our Corporate Headquarters in Wood Dale, IL, with a planned relocation to the Merchandise Mart (Chicago) in early 2027.

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 framework | Data integration and ETL/ELT development (Spark/Databricks, Snowflake, Kafka, and cloud-native services) | Data modeling and warehousing | APIs and system integrations.
• Experience with modern analytics and business intelligence platforms.
• Provide technical direction and oversight across data pipelines, modeling, APIs, infrastructure, and UI interaction patterns without directly owning implementation.
• Ability to operate independently in a fast-moving environment.
• Strong communication and stakeholder management skills.

Nice To Haves

• 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 working in both architecture and hands-on engineering roles.
• Experience building data products from concept through production deployment.

Responsibilities

• Define the overall architecture and technical roadmap for advanced analytics platforms.
• Design scalable data, integration, analytics, and AI solutions.
• Establish standards for data models, APIs, governance, security, and platform design.
• Balance immediate business needs with long-term maintainability and scalability.
• Build and maintain data pipelines that ingest, transform, and integrate data from multiple internal and external sources.
• Design and implement scalable data models for reporting, analytics, and AI applications.
• Develop data products, dashboards, and analytical datasets that support business decision-making.
• Ensure data quality, reliability, performance, and operational supportability.
• Partner with business users to deliver actionable insights and measurable outcomes.
• Identify opportunities to leverage AI, machine learning, and automation.
• Develop and deploy data assets that support forecasting, market intelligence, and decision-support capabilities.
• Evaluate emerging technologies and recommend improvements to platform capabilities.
• Work closely with commercial, operations, and technology stakeholders to understand business needs.
• Translate business problems into technical solutions and prioritized delivery plans.
• Communicate architecture, tradeoffs, and recommendations to both technical and executive audiences.

Benefits

• Competitive salary and bonus package
• Comprehensive benefits package including medical, dental, and vision coverage.
• 401(k) retirement plan with company match
• Generous paid time off program
• Professional development and career advancement opportunities
• medical/dental/vision/life/and AD&D insurance
• 401(k) savings plan with employer match
• paid time off and holiday pay
• opportunities for professional development and growth

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed