Dance education academy with enterprise infrastructure and data pipeline operations
Celestial Stars Arts Academy presents an operational mismatch: a 19-year dance education provider running enterprise-grade infrastructure (AWS, Azure, GCP, SAP, Jenkins, VMware) and actively building data processing pipelines and dataset governance systems. The tech stack and 12 open roles across engineering, ops, and data suggest a pivot toward backend systems and ML training data—far beyond traditional dance instruction—while pain points around data quality, workflow automation, and e-commerce support indicate operational complexity that outpaces a typical academy footprint.
Celestial Stars Arts Academy is a dance education institution based in West Columbia, South Carolina, with 19 years of operational history. The organization currently operates a 11–50 person team and is actively hiring across support, engineering, operations, and data functions. Beyond in-person instruction, the academy is developing infrastructure for large-scale data curation, processing pipelines, and dataset governance—suggesting expansion into backend service delivery or a hybrid model combining education with data or e-commerce operations. Current pain points center on IT workflow automation, system availability, incident response coordination, and data quality assurance.
The academy uses AWS, Azure, and GCP for cloud infrastructure; SAP, Java, and SQL for business systems; Jenkins and Perforce for deployment; Jira for project tracking; and monitoring tools including Nagios and Zabbix. They also leverage Unity and Unreal Engine, suggesting interactive or game-based content development.
Active projects include data curation and evaluation solutions, large-scale data processing pipelines, and dataset governance systems—indicating backend and ML infrastructure development alongside core dance education operations.
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