Job description

Job Title: Data Modeler (Hybrid)

Location: Philadelphia, PA

Duration: 06 Months

Job Description:

The Senior Data Modeler is responsible for developing advanced data models associated with the Enterprise Data Warehouse (DART), IHG operational systems and IHG data exchange with limited management oversight. Primary job function entails gathering and assessing business and technical requirements to create/update database objects. Delivery items include using ERwin Data Modeler to create and maintain entity relationship diagrams, DDL, and supporting documentation as needed. Additional job functions include identifying solution design options, advanced data profiling and subject matter expertise.

This role works closely with all development resources including Business Systems Analysts, Developers and Project Managers. The Senior Data Modeler works independently with minimal guidance and acts as a resource for colleagues with less experience.

A solid understanding of the following is required:

Software Development Life Cycle (SDLC)
Agile Methodology
Logical and Physical data modeling
Levels of Normalization
Abstraction and Generalization
Subtyping and Classification
Relational model design
Dimensional model design (Star Schemas, Snowflake designs)
Inmon & Kimball methodologies
Master Data Management (MDM)
Data Profiling
Metadata Management
Data security and protecting information
ETL processes, BI processes
Cloud Platforms, especially Google Cloud Platform

Requirements:

7+ years of proven experience in Data Modeling
5+ years of experience with advanced SQL query techniques
Highly skilled in Erwin, including but not limited to: Diagraming, Complete Compare, Reverse Engineering, Forward Engineering
Strong multi-tasking capability, with adaptability to work simultaneously in multiple environments with differing procedures, SME support and level of accountability
Ability to estimate scope of effort, to prioritize and/or fast track requirements, and to provide multiple options for data-driven solution design
Demonstrated ability to recognize, elicit and/or decompose complex business requirements
Demonstrated ability to perceive patterns and relationships in data
Demonstrated ability to design models which integrate data from disparate sources
Demonstrated ability to design data models for complex and ragged hierarchies
Demonstrated ability to design data models for complicated historical perspectives
Understanding of data warehousing and decision support tools and techniques
Strong ability to multi-task with several concurrent issues and projects
Demonstrated ability to interact effectively with all levels of the organization
Strong interpersonal, written and verbal communication skills
Experience advising or mentoring staff regarding data administration, data modeling, and data mapping