Data Modeler
5 days ago
Description
Position Overview.
We are seeking a highly skilled Data Modeler with around 5 years of experience in designing, developing, and implementing robust data models to support analytical and operational data systems.
The ideal candidate should have a strong understanding of data modeling concepts, architecture patterns, and design methodologies across various layers of data storage and consumption.
Key Responsibilities
- Design and develop Conceptual, Logical, and Physical Data Models based on business requirements, ensuring alignment with data governance and architectural standards.
- Collaborate with business analysts, data engineers, and stakeholders to translate business needs into scalable and maintainable data structures.
- Perform data design, model design, and data profiling to ensure data quality, consistency, and integrity across multiple systems.
- Work with different modeling methodologies including:
- 3NF (Third Normal Form) for operational data stores.
- Data Vault modeling for scalable, auditable enterprise data warehouses.
- Common Data Model (CDM) for standardized data representation across applications.
- Industry domain models (e.g., finance, healthcare, retail) to ensure semantic consistency.
- Design and support implementation of Medallion Architecture (Bronze, Silver, Gold layers) in modern data platforms such as Microsoft Fabric, Azure Synapse, or Databricks.
- Define and maintain metrics and attributes for analytical models and ensure proper dimensional modeling for BI and reporting solutions.
- Support forward and reverse engineering processes to generate physical databases from logical models and derive models from existing databases.
- Collaborate with development teams to ensure model changes are properly implemented and version-controlled.
- Participate in performance tuning and optimization of database structures.
- Maintain documentation and metadata for all data models, ensuring compliance with data governance and architectural best practices.
Technical Skills Required
- Strong expertise in Conceptual, Logical, and Physical Data Modeling.
- Hands-on experience in Data Design, Data Profiling, and Normalization/Denormalization techniques.
- Practical knowledge of Data Vault, 3NF, and Dimensional Modeling.
- Good understanding of Medallion Architecture (Bronze, Silver, Gold Layers) and its role in data pipelines.
- Familiarity with Common Data Model (CDM) and Industry Domain Models.
- Understanding of Forward Engineering (creating databases from models) and Reverse Engineering (deriving models from existing databases).
- Experience with at least one Data Modeling Tool such as Erwin Data Modeler, PowerDesigner, or SQL Data Modeler.
- Basic to intermediate proficiency in Erwin Data Modeler, including schema generation, version control, and metadata management.
- Familiarity with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and cloud-based data platforms (e.g., Azure Synapse, MS Fabric, Snowflake).
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