A leading global management firm in Houston is seeking an experienced Logical Data Modeler to design and maintain data models that meet business requirements. The ideal candidate will collaborate with analysts to translate business needs into structured data and support enterprise data architecture. A Bachelor's degree or technical certification and a minimum of three years' related experience are required. Familiarity with Oracle databases and cloud platforms like AWS is preferred. This position offers a dynamic work environment and opportunities for professional growth.
Qualifications
Minimum of three years' related experience in data modeling or database design.
Experience supporting Oracle databases and cloud-native databases.
Strong understanding of relational database concepts and normalization.
Responsibilities
Design and maintain logical data models reflecting business requirements.
Collaborate with business analysts to gather data requirements.
Translate business needs into normalized data structures.
Skills
Data modeling
Database design
Oracle databases
Cloud platforms (Azure, Google, AWS)
Data warehousing
ETL processes
Relational database concepts
Data modeling tools
Analytical skills
Problem-solving
Communication skills
Education
Bachelor's degree or technical certification
Tools
ERwin
ER/Studio
Job description
Overview
Logical Data Modeler needs 3+ years of experience in data modeling, database design, or data architecture.
Qualifications
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.
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.