Data Modeler - Metadata Management
First seen by Alion on Oct 16, 2026.
About IDP :
IDP is a global leader in international education services, helping students, test takers, and partners achieve success through trusted relationships, digital technology, and customer research. An Australian-listed company, IDP operates in more than 50 countries, with a diverse team of over 7,000 employees.
Role Purpose :
IDP is seeking an experienced Data Modeler to join its Data Engineering and Governance team. The role involves translating business requirements into scalable data models, optimizing existing data systems, and ensuring data consistency, quality, and alignment with IDP's enterprise data vision.
Key Responsibilities :
- Analyze business requirements and translate them into conceptual, logical, and physical data models.
- Evaluate existing data systems and identify opportunities for optimization and improvement.
- Collaborate with Data Engineers, Data Scientists, Data Analysts, Product Owners, Software Developers, and Architects to design data models and data flows.
- Develop and maintain data modeling standards, coding best practices, and metadata models.
- Implement data strategies and ensure data models align with enterprise architecture and governance standards.
- Review system modifications to ensure data consistency, integration, and cross-system compatibility.
- Evaluate data systems for discrepancies, variances, performance issues, and efficiency.
- Troubleshoot data modeling and system-related issues and recommend effective solutions.
- Maintain technical documentation, standard operating procedures (SOPs), knowledge base articles, and training materials.
- Contribute to continuous improvement initiatives and promote data modeling best practices.
Required Skills and Qualifications :
- Bachelor's degree in Computer Science, Statistics, or a related field.
- 8 - 10 years of overall IT experience, including at least 5 years in data modeling or data architecture.
- Strong expertise in conceptual, logical, and physical data modeling.
- Expert knowledge of metadata management and related tools.
- Understanding of mathematical foundations and statistical analysis.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication, presentation, and stakeholder management skills.
- Ability to collaborate with senior leaders and cross-functional teams in a multicultural environment.
- Strong understanding of data consistency, system integration, and data optimization.
Preferred Qualifications :
- Relevant Data Modeling certification.
- Experience working with enterprise Data Engineering and Governance teams.
Key Competencies :
- Accountability for outcomes and deliverables.
- Continuous learning and adoption of technology best practices.
- Effective collaboration across technical and business teams.
- Ability to translate business needs into reliable, long-term data solutions.
Skills
Data Modeling, Data Architect, Data Engineering, Data Governance, Metadata, Python, SQL, ETL