Automotive manufacturer scaling cloud data and retail operations
Subaru of America operates a multi-cloud data stack (Azure + AWS + Databricks) anchored on lakehouse architecture and Oracle EBS, with active work on CI/CD pipelines and cloud integration. Hiring velocity is accelerating across engineering and ops roles, reflecting infrastructure modernization work — particularly the shift to cloud-native data patterns and the migration of legacy on-premises workflows. The tech mix (Azure Data Factory, PySpark, Unity Catalog) combined with project focus on lakehouse and cloud integration signals a push toward real-time retail analytics and supply-chain visibility.
Subaru of America manufactures and distributes vehicles through a network of retailers and dealerships across the United States. The company's operational footprint spans vehicle sales, post-sale customer support, retailer training, warranty management, and merchandising of accessories and gear. As a privately held subsidiary founded in 1968 and based in Camden, New Jersey, the organization has shifted significantly toward data-driven retail operations, building cloud-based analytics infrastructure and modernizing legacy systems to support faster decision-making across merchandising, inventory, and customer experience.
Subaru uses a multi-cloud architecture combining Azure (Data Factory, Data Lake Storage, SQL Database) and AWS (Lambda, RDS, IAM, CloudFormation) alongside Databricks and Oracle EBS for core operations. Analytics stack includes Power BI, Qlik, and Samba for reporting and dashboarding.
Active projects include lakehouse architecture implementation, cloud integration and management, CI/CD pipeline implementation, cloud-based business intelligence solutions, and retailer training and compliance systems. The company is also modernizing retail operations through merchandising strategy and physical/digital fixture portfolio development.
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