Data Modeller (Enterprise)
Overview
This role involves designing, standardizing, and maintaining enterprise data models for large-scale data modernization initiatives. The data modeler will translate business requirements into conceptual, logical, and physical data models across multiple domains, ensuring consistency and alignment with cloud data platforms.
What You'll Do8
- 1Develop conceptual, logical, and physical data models aligned with enterprise architecture standards.
- 2Engage with business stakeholders to understand business processes, data lifecycles, and key metrics.
- 3Analyze end-to-end customer and product value chains to identify critical data entities and relationships.
- 4Design and implement physical data models optimized for performance and scalability.
- 5Create semantic models enabling business access to data via BI tools and data discovery platforms.
- 6Ensure models comply with enterprise data standards, naming conventions, lineage tracking, and governance practices.
- 7Collaborate with data engineering to align data pipelines with logical and physical models.
- 8Manage version control, lineage tracking, and change documentation for models.
Requirements6
- 17+ years of experience in Data Modeling or Enterprise Data Architecture with hands-on expertise in conceptual, logical, and physical data models.
- 2Strong hands-on experience with enterprise data modeling tools such as Erwin, ER/Studio, PowerDesigner, SQLDBM, or similar.
- 3Deep understanding of dimensional modeling (Kimball/Inmon methodologies), normalization techniques, and schema design for modern data warehouses.
- 4Proven experience designing data models for modern platforms such as Snowflake, Databricks, Redshift, Dremio, or similar cloud data warehouse/lakehouse systems.
- 5Strong SQL expertise and schema design skills, with ability to validate data model implementations and collaborate with data engineering teams.
- 6Bachelor's or Master’s degree in Computer Science, Information Systems, or a related technical field.
Who Should Apply
An experienced enterprise data modeler with a strong foundation in data architecture and hands-on skills with modern cloud platforms. The ideal candidate has deep knowledge of dimensional modeling, is proficient in enterprise modeling tools, and can effectively collaborate with business and engineering teams to deliver robust, scalable data models.
Salary Insight
Compensation is open to discussion.
Required Skills
Application Tip
Highlight your hands-on experience with specific enterprise data modeling tools (e.g., Erwin, PowerDesigner) and modern cloud platforms (e.g., Snowflake, Databricks) in your resume and cover letter.