Principal Data Modeler

Role: Principal Data Modeler

Locations: Irving, TX OR Irvine, CA

Mode: Hybrid, 3 days a week onsite

Job Description

• Establish best practices for knowledge and data discovery to support effective data-driven decision systems.
• Record detailed logical and physical data models in the information repository and coordinate the publication and maintenance of these models.
• Ensure appropriate integration of models and designs across the enterprise.
• Facilitate database design sessions and translate business requirements into logical and physical system designs for large complex projects.
• Lead the physical database design and implementation process for large complex projects.
• Design the optimal data presentation environment for the customer and work with various reporting tools.
• Formulate and standardize best practices for change management, source control, and deployment methodologies for big data solutions.
• Research and analyze data standards across the company.
• Lead standards discussions among big data engineers, data scientists, and other team members.
• Collaborate with the team to develop a comprehensive view of the company's strategy, processes, information, and IT assets.
• Define best practices and internal guidelines.
• Investigate new technologies.

Job Qualifications

• Bachelor s degree in computer science, information technology, software engineering, or a related field.
• 7 years of experience in database administration, application development, data integration, data modeling, and data management.
• 7 years of experience with relational data modeling, big data modeling, conceptual data modeling, and logical data modeling.
• 5 years of experience with system architecture and normalization considerations.
• Familiarity with enterprise architecture modeling languages or frameworks such as ArchiMate, TOGAF, SOA, or CMMI.
• 5+ years of hands-on experience implementing data management solutions.
• Working knowledge of BI architecture, data warehousing concepts, and data integration best practices.
• High level of SQL language proficiency with SQL Server, Oracle, Teradata, and other database management systems.
• Understands and can navigate complex multi-dimensional source data business systems.