Enterprise Data Modeler

  • location: Chantilly, VA
  • type: Permanent
  • salary: $125,000 - $133,000 per year
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job description

Enterprise Data Modeler

job summary:
This Enterprise Data Modeler will be responsible for the creation of logical data modeling and data flows. They will also develop a solid understanding of the various source data sets and assist in laying out the overall data design solutions.

 
location: Chantilly, Virginia
job type: Permanent
salary: $125,000 - 133,000 per year
work hours: 9 to 5
education: Bachelors
 
responsibilities:
  • Create conceptual, logical data model, data flows, and data management specifications.
  • Develop business and technical understanding of various source systems for integration in conceptual and logical data model.
  • Develop solid understanding of the various source data sets and assist in laying out the overall data design solutions.
  • Promote data modeling standardization, defines and drives adoption of the standards.
  • Establish governance processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and re-usability of metadata.
 
qualifications:
  • 4 - 8 years of experience with ERWIN or ER/Studio or any other enterprise data modeling tool.
  • Experience with managing models for multiple systems.
  • Experience in design of Big Data Environments which utilize technologies such as distributed processing (for example Hadoop), non-relational and/or unstructured data stores.
  • Experience in the review of various data life cycle artifacts of the DRM such as:
  • Data Dictionary
  • Data Flow Diagram
  • Data Quality Plans
  • Experience in the creation of data management plans, data migration plans and the upkeep of system data dictionaries.
Required Education: Bachelor's Degree in Engineering,Computer Science, Mathematics, Physics or a related academic focus-area.

 
skills:
  • Excellent verbal and written communication skills.
  • Expert knowledge in the design of transactional and dimensional business intelligence data stores, as well as and data integration (ETL processes)
  • Expert knowledge in the creation of physical, conceptual and logical data models at both the system and enterprise level, using tools such as Erwin
  • Expert knowledge in design of Service-Oriented Architecture at the enterprise-level, to maximize a consistent method of information exchange, as well as to maximize reuse and orchestration of services
  • Expert knowledge of the IT systems development life cycle
  • Excellent understanding of - and experience creating business reference models and data reference models in alignment with FEA.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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