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Responsibilities
- Oversee organizational data modelling.
- Lead high-impact initiatives.
- Ensure alignment with organizational goals.
- Provide executive guidance.
Requirements
- Understand and translate business needs into data models and data architecture supporting long-term solutions.
- Work with the Application Development team to implement data strategies, build data flows and development of data models.
- Create and maintain conceptual, logical, and physical data models using best practices to ensure high data quality and reduced redundancy, along with corresponding metadata.
- Optimise and update logical and physical data models to support new and existing projects.
- Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
- Organized and rigorous with versioning of documentation and models to ensure consistent delivery and understanding between the client and development team.
- Recommend opportunities for reuse of data models in new environments.
- Perform reverse engineering of physical data models from databases and SQL scripts.
- Evaluate data models and physical databases for variances and discrepancies.
Experience Level
- 8-12 years of experience in data modelling or data analysis
Education Level
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field