Join GDIT and be a part of the team of men and women that solve some of the world’s most complex technical challenges. The Navy’s Personnel Modernization (PersMod) team is seeking a Sr. Data Modeler to support the further development of an Authoritative Data Environment (ADE 2.0). This position may be supported from New Orleans, LA, Arlington, VA, or remotely.
The senior data modeler works with data analysts and developers to design databases and data extracts that meet organizational needs using conceptual, logical, and physical data models. Models are designed to improve efficiency and outputs, and may focus on issues such as reducing data redundancy or improving data movement across systems using Application Programming Interfaces (APIs) that expose data and application functionality for use by developers and users. The senior data modeler will be involved with discovering, analyzing, and specifying changes to how software systems create and maintain information and data.
The senior data modeler will employ tools and techniques used to understand and analyze how an organization should collect, update, store and exchange data and perform the following tasks:
Defining business users’ data requirements
Identify areas where data can be used to improve business activities
Develop data flows and propose/implement innovative data solutions
Work closely with the database engineers to create optimal physical data models of datasets
Create and maintain data maps and systems interrelationship diagrams for data domains and systems
Define and employ data modeling and design standards, tools, best practices, and related development methodologies
Set standards for document naming, security, lifecycle and retention architecture using the National Information Exchange Model (NIEM) which is a common vocabulary that enables efficient information exchange
Make recommendations for standardization and proper data usage
Champion the usage of data in business and communicate the benefits and return on investment for application customers and system owners
The senior data modeler must possess the following core skills:
Analytical and creative thinking skills
Ability to evaluate problems and develop appropriate solutions
Ability to quickly understand and incorporate new technologies
Expertise in data modeling principles/methods including conceptual, logical and physical data models
Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience
Knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization
Ability to quickly learn and adapt modeling methods from case studies or other proven approaches
BS degree; additional years of experience may be considered in lieu of degree
5+ years of Software development experience
Experience in Data Warehousing and Dimensional Modeling (Kimball)
Ability to utilize business intelligence tools to represent insights
Experience working with dimensionally modeled data
Experience in translating/mapping relational data models into XML and Schemas
The senior data modeler should be experienced using the following or similar tools:
ER/Studio Data Architecture and Database Design Software
Sparx Enterprise Architect
Oracle SQL Developer Data Modeler
We are GDIT. The people supporting some of the most complex government, defense, and intelligence projects across the country. We deliver. Bringing the expertise needed to understand and advance critical missions. We transform. Shifting the ways clients invest in, integrate, and innovate technology solutions. We ensure today is safe and tomorrow is smarter. We are there. On the ground, beside our clients, in the lab, and everywhere in between. Offering the technology transformations, strategy, and mission services needed to get the job done.
GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.