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Data Modeler
4 months ago
The candidate will help create, define, and evolve the “as-is” and “to-be” data architecture for the DoD SAP IT data services. Provide modeling and framework(s) to determine how to grow and improve new data assets and evaluate existing data assets. Also, provide data architecture services and perform data architecture reviews, ensuring compliance of design and meta-data standards.
Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS070, T4, Band 7 Required Skills:
- Must have an active TS/SCI clearance
- Bachelor’s degree or 4 years of relevant experience in lieu of the degree requirement. An Associate's degree and 2 years of relevant experience may also be considered in lieu of the degree requirement.
- 5+ years of experience in support of special access program (SAP)
- 7+ years of experience working in support of DoD programs
- 3+ years of supporting policy development and requirements generation
- 5+ years of DoD Information Technology Experience
Desired Skills:
- Experience and support of nextgen platforms and big data technologies such as Hadoop, Flume, Solr, HBase, Impala, Kafka, Spark, etc Experience working with Special Access Programs.
- Experience working at the OSD, Joint Staff or Service Staff level.
- Strong writing and communication skills to collaborate with senior Government and/or Military personnel.
- ML, AI, Python and R exposure
- Data Ontologies experience
- 10+ years of experience with performing CDO analysis, process analysis, and requirements analysis.
- Strong logical reasoning and critical thinking skills, including ability to pivot and respond to and integrate information from various sources.
- Ability to absorb and synthesize information from various outlets and develop effective products for senior DoD leadership.
- Provides technical recommendations to designated boards and Chief Data Officer for integrating new technology or major new mission capabilities
- Experience developing technology strategies and architecting resilient solutions.
- Experience orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL) with emphasis on reliability, automation and performance Strong working knowledge of SQL
- Experience in creating data models (e.g., subject area, conceptual, logical, physical…) for OLAP architectures
- Contribute to the development and maintenance of enterprise data models by participating in stakeholder review sessions
- Experience with data management activities, including metadata, cataloging, and data quality management
- Ability to create and maintain data flows and other documents using Visio and other tools, as appropriate
- Provide ad hoc data architecture support in the form of data mapping, diagramming, and the development of other written artifacts and Provide communication and technical expertise by merging consulting and very complex data environments to create data-centric solutions.
