About Maltem Australia
Maltem Australia is a global boutique data and analytics consulting firm specialising in supporting organisations in designing and delivering enterprise data platforms and advanced analytics solutions. With strong expertise in building robust data architectures and leveraging cutting-edge technologies, we help businesses harness the full potential of their data.
By implementing scalable and efficient data solutions, we enable our clients to derive meaningful insights, make data-driven decisions, and gain a competitive advantage.
Maltem Australia operates in Sydney, Melbourne, and Brisbane, serving over 25 clients across various industries.
Senior Data Modeler
The Senior Data Modeler will play a crucial role in designing and implementing enterprise-wide data models that support our client operations across 600+ stores. This position is essential for ensuring data consistency, integrity, and efficiency across rapidly expanding business and multi-brand environment. The role requires deep expertise in data modelling techniques and the ability to translate complex business requirements into efficient data structures.
Core Responsibilities
1. Enterprise Data Modeling
- Design and maintain conceptual, logical, and physical data models aligned with business needs.
- Develop canonical data models for key domains such as customers, products, inventory, sales, operations and supplier.
- Create cross-functional data models and maintain data dictionaries, glossaries, and lineage documentation.
- Implement Medallion Architecture.
2. Standards and Governance
- Establish and maintain data modeling standards, naming conventions, and metadata guidelines.
- Change management processes and version control.
- Participate in data governance committees and enforce compliance with organizational policies.
3. Technical Design and Implementation
- Design specialised data structures for Data Warehouses, operational Data Stores, master Data Management Systems, real-Time Analytics Platforms.
- Implement dimensional models (Kimball methodology), data vault models, and strategies for temporal data and slowly changing dimensions.
4. Collaboration and Documentation
- You will Collaborate with business analysts, data architects,ETL developers and DBAs to ensure the delivery of the project.
- Maintain comprehensive documentation, including entity-relationship diagrams (ERDs), business glossaries, and technical specifications.
Qualifications
Must have :
- 7+ years in data modeling, including:
- 3+ years in enterprise data modeling.
- 2+ years in retail or healthcare sectors.
- Proven success in large-scale data implementations.
Technical Skills
- Expertise in Data modeling methodologies such as 3NF, Dimensional, Data Vault.
- Modeling tools: ER/Studio, ERwin, Power Designer.
- SQL and database design.
- Metadata management and ETL/ELT processes.
- Familiarity with cloud platforms (e.g., AWS, Azure) and real-time data modeling.
Domain Knowledge
- Strong understanding of retail business processes, supply chain, and e-commerce.
- Master Data Management (MDM) and data governance principles.
Preferred Qualifications
- Certifications: CDMP, cloud certifications (e.g., AWS/Azure), or data governance certifications.
- Experience in healthcare data modeling or pharmacy systems is a plus.
Technical Environment
- Modeling Tools: Enterprise Architect, ERwin, Visio.
- Databases: Oracle, SQL Server, PostgreSQL, cloud platforms.
- Development Tools: SQL, version control systems, collaboration platforms.
Key Projects and Initiatives
- Enterprise Data Platform.
- Master Data Management (MDM).
- Real-Time Analytics Platforms.
- Cross-Channel Customer Data Integration.
- Support for international expansion and regulatory compliance.
Working Environment
- Location: India working remotly for Australia, Australian Eastern Standard Time (AEST).
