Data Modeler with Security Clearance

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Job description

G3 is searching for a Data Architect. The successful candidate will provide subject matter expertise to the Chief Data Officer (CDO) Directorate and to support senior level leadership. The candidate must be able to provide strategic advice, counsel, and sound recommendations to support and defend policy decisions, synchronize investments, and drive sound outcomes. The candidate will create, define, and evolve the "as-is" and "to-be" data architecture for the DoD SAP IT data services. Provide a framework to determine how to grow new data assets and evaluate existing data assets. Also, provide data architecture services and perform data architecture reviews, ensuring the compliance of design and meta-data standards. Duties and responsibilities: Support the client to ensure executability and adherence to Department of Defense policies. Develop documents to support Program Objective Memorandum Requirements Support the development and maintenance of CDO documentation. Assist with the development of annual reporting requirements to Congress. Inform senior leaders within the DoD on CDO requirements. Provide effective verbal and written correspondence. Self-starter with ability to work independently and part of a cross-functional team. Participate in client data standards committees. Investigate and implements new and improved data standards including the conversion of legacy data standards. Help plan, develop, and implement data services in support of data profiling, curation including data cleansing. Create Data mapping documents: source to target. Collaborates with Chief Architect, Application Architect, and Security Architect for architecture development and implementation aligned with DoDAF. Requirements: 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: 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.

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