Logical Data Modeler

Title: Logical Data Modeler
Location: Houston, TX

Key Responsibilities:
• 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.
• Conduct impact analysis for changes to data models or business processes.
• Stay current with industry trends, tools, and best practices in data modeling and database design.
• Installs, configures, and maintains database management software and related tools following recommend standards and security guidelines.
• Supports the application development teams in the design and creation of secure database structures and objects, migrating changes through the project development life cycle and into the production environment.
• Develops scripts and processes to perform data migration requests related to refreshing development and test environments from production.
• Performs performance and tuning of the overall database in addition to application specific queries.
• Support ETL database functions and processes.
• Other duties as assigned.

Required Qualifications:
• + years of experience in data modeling, database design, or data architecture.
• Strong understanding of relational database concepts, normalization, and data integrity.
• Proficiency in data modeling tools ( ERwin, ER/Studio, etc).
• Familiarity with data governance, metadata management, and data quality principles.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications:
• Bachelor's degree or technical certification with a minimum of three () years' related experience.
• Experience with supporting Oracle databases.
• Experience with cloud platforms (, 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.