Logical Data Modeler needs 3+ years of experience in data modeling, database design, or data architecture. Logical Data Modeler requires: Bachelor's degree or technical certification with a minimum of three (3) years' related experience. Experience with supporting Oracle databases. Experience with cloud platforms (e.g., Azure, Google, and AWS) and cloud-native databases. Exposure to database administration tasks such as installation, configuration, and maintenance of Oracle DBMS. Experience supporting development lifecycle environments and data migration scripting. Knowledge of data warehousing and ETL processes. Strong understanding of relational database concepts, normalization, and data integrity. Proficiency in data modeling tools (e.g. ERwin, ER/Studio, etc). Familiarity with data governance, metadata management, and data quality principles. Excellent analytical, problem-solving, and communication skills. Logical Data Modeler duties: Design and maintain logical data models that reflect business requirements and support enterprise data architecture. Collaborate with business analysts and stakeholders to gather and interpret data requirements. Translate business needs into normalized data structures and entity-relationship diagrams (ERDs). Ensure logical models align with physical database implementations and performance goals. Maintain metadata and data dictionaries to support data governance and lineage. Support data integration, migration, and transformation efforts by providing data modeling expertise.