- Develop and maintain conceptual, logical, and physical data models that align with DoD project requirements. Ensure data models accurately represent data structures, relationships, and attributes
- Create comprehensive documentation for data models, including data dictionaries, entity-relationship diagrams, and metadata descriptions to facilitate understanding and usage by project teams
- Work with data integration teams to ensure seamless data flow between various systems and databases within the DoD project, maintaining data integrity and consistency
- Implement data quality checks and validation rules within data models to identify and resolve data quality issues proactively
- Collaborate with data governance teams to define and enforce data governance policies, ensuring data models align with governance requirements
- Optimize data models for performance and scalability, considering the large datasets and complex queries often encountered in DoD projects
- Work closely with other data professionals, such as database administrators, data engineers, and data analysts, to ensure that data models align with the broader data architecture and strategy
- Can define and govern data modeling and design standards, tools, best practices, and related development methodologies for the organization for which they work
- Provide recommendations for standardization and proper data usage in business, and communicate the benefits and return on investment for application and product owners
- US Citizenship Required
- Able to obtain a Secret Clearance
- Bachelor's Degree in Computer Science, Engineering, or other technical discipline required
- Prior experience in data modeling, database design, and data architecture
- 8+ years of total experience with at least 5 years focusing on Data Modeling
- Proficiency in data modeling tools such as Erwin Data Modeler, IBM Data Architect, or Oracle SQL Developer Data Modeler for creating and maintaining data models
- Experience with relational database management systems (RDBMS) commonly used in DoD projects, such as Oracle, SQL Server, or PostgreSQL
- Familiarity with DoD data standards, including the DoD Information Enterprise Architecture (DoD IEA) and the DoD Architecture Framework (DoDAF)
- Implement and enforce data security measures, including access controls and encryption, to protect sensitive information in accordance with DoD cybersecurity standards
- Implement and enforce DoD data standards, ensuring consistency and compliance with relevant regulations and security requirements
- Strong knowledge of SQL for querying and manipulating data within databases
- Collaborate with stakeholders, including analysts and subject matter experts, to gather and analyze data requirements, ensuring that data models meet the project's needs
- Understanding of data governance and metadata management tools that may be used in DoD projects, such as Collibra or Informatica Axon
- Knowledge of data security best practices and compliance with DoD cybersecurity standards, including the Risk Management Framework (RMF)
- Understanding of data integration technologies and tools, including ETL processes and data integration platforms
- Proficiency in implementing data quality checks and ensuring data quality within data models
- Strong documentation skills for creating clear and comprehensive data model documentation
- Excellent written and oral communication skills, including strong technical documentation skills
- Strong interpersonal skills and ability to work collaboratively in a dynamic team environment
- Ability to communicate clearly with all levels within an organization
- Experience working with database engineers to create optimal physical data models of datasets, then create and maintain data maps and systems interrelationship diagrams for data domains and systems
- Identify areas where data can be used to improve business activities, defining business users' requirements
- Excellent analytical skills, organizational abilities, and problem-solving skills
- Strong understanding of the business domain, the data requirements, and the data sources
- Identify the key entities, attributes, and relationships that represent the data in a logical and coherent way
- Have conceptual thinking in creating data models that are clear, accurate, and relevant
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Description
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Responsibilities: