Our scale-up is seeking a skilled data engineer to design and implement a cutting-edge data mesh architecture enabling real-time analytics for various educational outcomes. The goal is to enhance decision-making across departments by facilitating decentralized data ownership and promoting data democratization in a growing higher education ecosystem.
The target users are academic departments, administrative staff, and analytics teams within higher education institutions who require immediate access to data insights to improve student outcomes and optimize institutional processes.
Our current centralized data architecture is not keeping pace with our growth and demands for real-time data analytics, resulting in inefficient decision-making processes and missed opportunities for enhancing student and institutional performance.
Our institution is driven to invest in this solution due to the competitive advantage it offers in student retention and academic excellence, as well as the cost savings in operational efficiencies.
Failure to adopt a scalable data infrastructure will lead to increasing inefficiencies, decreased competitive positioning, and potential decline in student satisfaction and retention rates.
Traditional centralized data architectures and siloed data management approaches currently exist but fail to provide the agility and scalability needed by our institution.
The proposed data mesh architecture will offer decentralized data management, real-time analytics capabilities, and improved data observability, setting us apart from institutions using outdated systems.
We will highlight our success stories in educational outcomes to attract new departments and institutions, leveraging partnerships with technology providers for further reach and credibility in the market.