What makes you a great fit:

• Develop and Maintain Data Models: Design conceptual, logical, and physical data models based on the organization’s business processes and data requirements.
• Collaborate with Stakeholders: Work closely with business and data teams to create a shared understanding of data structures and relationships.
• Ensure Data Integrity and Quality: Implement data modelling best practices to maintain high data quality, optimize storage, and ensure data integrity.
• Support Data-Driven Decisions: Enable effective decision-making by creating data models that provide clear insights into business processes and performance metrics.
• Proficiency in data modelling tools such as Erwin Data Modeler, SqlDBM, or similar.
• Strong understanding of database design, including SQL and NoSQL databases.
• Experience with data warehousing solutions and ETL processes.
• Experience with different data modelling approaches, including Kimball, Inmon, Data Vault, One Big Table (OBT), and BEAM.
• Familiarity with cloud-based data solutions such as AWS, Azure, or Google Cloud Platform.
• Experience: Minimum of 8 years of experience in data modelling, data architecture, or a related field.
• Problem-Solving Skills: Strong analytical skills and a strategic mindset to solve data-related challenges effectively. Should be able to determine the optimal modelling approach to use for specific scenarios.
• Business Acumen: Ability to translate complex business processes into comprehensive data models.
• Preferred Skills and Qualifications:
• Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex data concepts to non-technical stakeholders.
• Certifications in data management or data architecture.
• Educational Background: Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. A Master’s degree is a plus.