Data Architect

Description:

• Design & Develop Data Architecture:
  • Architect and implement scalable, high-performance data models and solutions to support educational data needs.
  • Create and maintain data models (relational, NoSQL, and data warehousing solutions) for student, academic, financial, and operational data.
• Data Integration & ETL:
  • Design and build efficient ETL pipelines to integrate data from multiple sources, including student information systems, learning management systems, and external data providers.
  • Manage data flow and ensure timely, accurate data processing.
• Data Governance & Security:
  • Establish and enforce data governance policies to ensure data quality, consistency, and compliance with regulations (e.g., FERPA).
  • Implement data security practices, including encryption, access controls, and compliance with data privacy laws.
• Cloud & On-Premises Solutions:
  • Implement and manage cloud-based data platforms (e.g., AWS, Azure, GCP) for scalable data storage and analytics.
  • Design data architectures to support both on-premises and cloud environments.
• Collaboration & Support:
  • Work with faculty, administrators, and IT teams to understand data requirements and translate them into actionable architectural solutions.
  • Support the development of reporting, BI, and analytics tools to inform strategic decisions at all levels of the organisation.
• Continuous Improvement:
  • Stay current on industry trends, tools, and best practices in data architecture and education technology.
  • Provide recommendations for optimising data processes and improving data-driven decision-making.

Requirements:

• Proven experience as a Data Architect, Data Engineer, or similar role.
• Strong knowledge of data modeling, ETL processes, and database management (SQL, NoSQL).
• Experience with data warehousing and BI tools (e.g., Tableau, Power BI).
• Expertise in cloud data platforms (e.g., AWS, Azure, Google Cloud).
• Familiarity with education data systems (e.g., Student Information Systems, Learning Management Systems).
• Strong knowledge of data security practices, privacy regulations (e.g., FERPA), and data governance.
• Excellent problem-solving, communication, and collaboration skills.

Conditions:

This is a great opportunity for an experienced Data Architect candidate to take the next step in their career with a growing, innovative organisation and work with cutting-edge technology with an established Data team in the Sydney, Australia market.