Data Modeler

We are looking for a Data Modeler with strong experience in designing enterprise data models, collaborating with stakeholders, and delivering data solutions across modern analytics and data engineering platforms.

• Design and maintain conceptual, logical, and physical data models for enterprise data platforms.
• Build scalable data models for data warehouses, data lakes, ODS, and data marts.
• Collaborate with business users, data engineers, architects, and BI teams to support reporting and analytics needs.
• Translate business requirements into efficient, high-performing data structures.
• Define and promote data modeling standards, best practices, and governance principles.
• Optimize models for performance, scalability, and usability.
• Support cloud migration and data modernization initiatives.
• Contribute to POCs and help identify and mitigate data design risks.

Your Profile

• 5+ years of hands-on Data Modeling experience.
• Expertise in Conceptual, Logical, and Physical Data Modeling.
• Strong knowledge of Relational & Dimensional Modeling (Star/Snowflake schemas).
• Experience with Data Warehouses, Data Marts, ODS, and Data Lakes.
• Solid understanding of ETL/ELT processes, data integration, and BI/Analytics requirements.
• Hands-on experience with modeling tools such as Erwin, ER/Studio, or similar.
• Experience working in large-scale enterprise data environments.
• Exposure to cloud platforms like AWS, Azure, Snowflake, or Databricks is preferred.
• Domain experience in Energy, Utilities, Oil & Gas, or Industrial sectors is a plus.