Data Modeler

The Data Modeler will coordinate the development of the data model by providing thought leadership, business analysis and organization skills. The Data Modeler will organize working sessions to gather requirements from various SMEs and analyze overall business needs. Serve as a reference and authority on the process of data modeling and ensure consistency with existing data models and data architectures, published standards and guidelines. This role requires strong technical skills, as well as business knowledge, interviewing and analytical skills and excellent oral and written communications skills.

Duties & Responsibilities:

Perform development or maintenance work on data models, data dictionaries, CRUD matrix, flowcharts, design justifications or other artifacts to meet with corporate standards, integration with enterprise data architecture and company goals.

Conduct data analysis and capture data requirements

Strong communication skills including written and oral, with ability to work closely with sponsors, business owners and analysts on requirements and use case design

Create data dictionary and metadata around the data elements Responsible for defining the source repositories and rules around the transformations

Experience working in Agile or Scrum methodologies

Create the logical and physical models

Strong knowledge of SqlServer or other enterprise databases (5 yrs. exp), ERwin, SqlServer Management Studio, Visual Studio

Contribute to large modeling projects with other Data Modelers at remote sites

Experience with Azure DevOps, RedGate a plus

Participates in business requirements gathering, performs data analysis, designs logical data models and participates in the design of physical data models.

Work with customers to understand and derive meaningful data relationships and translate them into appropriate data models.

Serve as a reference and authority on the process of data modeling and ensure consistency with existing data models and data architectures, published standards and guidelines..

Develop, review, approve new data models and enhance existing models.

Validate logical data models with business subject matter experts.

Work with other members of the development team to ensure all requirements are captured and reflected in the data model.

Work with DBA team to design physical models to satisfy optimal performance.

Participate in best practices and standards development.

Train/mentor others in data modeling.

Actively participate in meta data definition and management.

Actively participate in designing the data access layer.

Assist and backup DW/BI architect in support of data warehouse/business intelligence functions.