Solution Architect/Data Engineer

AAR Corp.
Wood Dale, United States of America
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Wood Dale, United States of America

Tech stack

API
Artificial Intelligence
Business Analytics Applications
Data analysis
Computing Platforms
Cloud Database
Information Engineering
ETL
Data Transformation
Python
Machine Learning
Ui Patterns
SQL Databases
Systems Integration
Snowflake
Spark
Spring-boot
PySpark
Kafka
Serverless Computing
Databricks

Job description

Experteer Overview As a Solution Architect & Data Engineer, you will design and scale a strategic analytics platform for the global aerospace aftermarket. You combine architecture, data engineering, and hands-on development to deliver data-driven insights and AI-enabled capabilities. You'll translate business needs into scalable data products, pipelines, and analytics, while partnering with stakeholders to drive measurable value. This role offers impact across architecture, engineering, and business outcomes in a fast-moving environment. Compensation / Benefits * Define overall architecture and technical roadmap for advanced analytics platforms * Design scalable data, integration, analytics, and AI solutions * Set standards for data models, APIs, governance, security, and platform design * Build and maintain data pipelines ingesting and transforming data from multiple sources * Create scalable data models for reporting, analytics, and AI applications * Develop data products, dashboards, and analytical datasets for decision-making * Ensure data quality, reliability, performance, and operational supportability * Collaborate with business users to deliver actionable insights and measurable outcomes * Identify opportunities to leverage AI, ML, and automation * Develop and deploy data assets for forecasting, market intelligence, and decision-support * Evaluate emerging technologies and recommend platform improvements * Work with commercial, operations, and technology stakeholders to translate needs into solutions * Communicate architecture decisions and tradeoffs to technical and executive audiences Tasks * 7+ years 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, ETL/ELT (Spark/Databricks, Snowflake, Kafka, and cloud-native services), data modeling and warehousing, APIs and integrations * Experience with modern analytics and business intelligence platforms * Provide technical direction across pipelines, modeling, APIs, infrastructure, and UI patterns without owning implementation * Ability to operate independently in a fast-moving environment * Strong communication and stakeholder management skills Key requirements * competitive salary and bonus * medical/dental/vision coverage * 401(k) with company match * generous paid time off * professional development and career advancement opportunities

Requirements

You'll and analytical datasets for decision-making * Ensure data quality, reliability, performance, and operational supportability * Collaborate with business users to deliver actionable insights and measurable outcomes * Identify opportunities to leverage AI, ML, and automation * Develop and deploy data assets for forecasting, market intelligence, and decision-support * Evaluate emerging technologies and recommend platform improvements * Work with commercial, operations, and technology stakeholders to translate needs into solutions * Communicate architecture decisions and tradeoffs to technical and executive audiences Tasks * 7+ years 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, ETL/ELT (Spark/Databricks, Snowflake, Kafka, and cloud-native services), data modeling and warehousing, APIs a to integrations * Experience with modern analytics and business intelligence platforms * Provide technical direction across pipelines, modeling, APIs, infrastructure, and UI patterns without owning implementation * Ability to operate independently in a fast-moving environment * Strong communication and stakeholder management skills Key requirements * competitive salary and bonus * medical/dental/vision coverage * 401(k) with company match * generous paid time off * professional development and career advancement opportunities

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