Systems Data Modeler 2

The systems data modeler is responsible for designing or maintaining data representation models and standards and ensuring that agency data can be structured in such a way that it is readily query-able, accessed corporately, and available for analysis. Analyzes data requirements to ensure development efforts align with the corporate data standards, the agency data architecture, and future transformation efforts. This effort involves the design of data architectures and the translation of data so that it can be represented and stored in corporate repositories. Implements and maintains Data Modeling Governance processes to include change management and configuration management for supported data models. Assists in the development of strategies for archive recovery, database implementation, and data acquisition. Works across the organization and with specific database customers for cleaning, curating, and properly structuring/formatting data in the corporate repositories. Works with data architects, system engineers, and database engineers to achieve requirements.

Capabilities

• Shows creativity in the designing or maintaining data representation models. Responsible for the definition and governance of the data model. Sets standards for how data is to be represented in corporate databases.
• Identifies and manages data model domain data stewards and conducts data modeling enabling activities including the development of the Logical Data Model, Data Dictionary, Physical Data Models, data format specifications, model releases, data harmonization and mapping across the data models, the modification of tools to support data modeling, and software application programming interfaces and converters to enable data model implementations.
• Shall have demonstrated skills, experience, and knowledge in supporting as well as implementing and maintaining Oracle and SQL data infrastructures as well as No-SQL data infrastructures such as Neo4j.
• Collaborate with data source SMEs and Mission Owners to answer or document questions on structure, mission requirements and compliance concerns of the data flow and the data storage and representation in the corporate repositories.
• Has experience establishing and enforcing processes to ensure a consistent, well-managed, and well-integrated data warehouse infrastructure. Designs, implements, and supports data warehousing requirements.
• Analyzes and identifies data and metadata requirements. Expertise in translating complex analytical and technical ideas info data and metadata objects which enables consistent querying and information retrieval.
• Conduct problem identification and requirements analysis
• Research and document process workflows and data flows. Maintains data maps and systems interrelationship diagrams for data domains and systems.
• Facilitate decision making meetings and analytic exchanges
• Projects long-range requirements for database administration and design in conjunction with other managers and stakeholders in the information systems function.
• Maintains database knowledge models and database knowledge model dictionaries, and monitors standards and data input procedures.
• Experience championing the usage of data in the corporate knowledge stores and communicates the benefits and return on investment for consumers, application and product owners

Required Qualifications

• TS/SCI with Agency Appropriate Polygraph
• Twelve (12) years’ experience in systems engineering and/or software engineering in programs and contracts of similar scope, type, and complexity is required.
• Within the twelve (12) years’ of work experience, four (4) years must be as a Data Modeler or Data Architect and four (4) years in the information assurance and/or cybersecurity field.
• Bachelor’s degree in Electrical, Systems, or Computer Engineering or related discipline from an accredited college or university is required.
• Five (5) years of additional Data Modeler or Data Architect experience may be substituted for a bachelor’s degree.

Required technical Skills

• Understanding of the various types of accesses used for SIGINT production, their benefits and limitations.
• Experience mining one type of access in order to gain a different type of access; Mandatory- in depth experience with all forms of Wi-Fi collect ion and analytic tools.

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.