Data Architect

• 401Analyze and plan for anticipated changes in data capacity requirements.Core
• 408Analyze information to determine, recommend, and plan the development of a new application or modification of an existing application.Core
• 466AConsult with customers and key stakeholders to evaluate functional requirements for AI and data applications.Core
• 815Provide recommendations on new database technologies and architectures.Core
• 5140Confer with systems analysts, engineers, programmers and others to design applications.Core
• 5841Advise higher level leadership on critical data management issues.Core
• 5854Collaborate with appropriate personnel to address Personal Health Information (PHI), Personally Identifiable Information (PII), and other data privacy and data reusability concerns for AI solutions.Core
• 5885Examine and identify database structural necessities by evaluating operations, applications, and programming.Core
• 5896Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.Additional
• 5908Prepare database design and architecture reports.Core
• 6190Effectively allocate storage capacity in the design of data management systems.Core

• 22* Knowledge of computer networking concepts and protocols, and network security methodologies.Core
• 28Knowledge of data administration and data standardization policies and standards.Core
• 79Knowledge of network access, identity, and access management (e.g., public key infrastructure [PKI]).Additional
• 108* Knowledge of risk management processes (e.g., methods for assessing and mitigating risk).Core
• 135Knowledge of the capabilities and functionality associated with various technologies for organizing and managing information (e.g., databases, bookmarking engines).Core
• 137Knowledge of the characteristics of physical and virtual data storage media.Core
• 296Knowledge of how information needs and collection requirements are translated, tracked, and prioritized across the extended enterprise.Additional
• 942Knowledge of the organization's core business/mission processes.Additional
• 952Knowledge of emerging security issues, risks, and vulnerabilities.Additional
• 1034AKnowledge of Personally Identifiable Information (PII) data security standards.Additional
• 1034CKnowledge of Personal Health Information (PHI) data security standards.Additional
• 1133Knowledge of service management concepts for networks and related standards (e.g., Information Technology Infrastructure Library, current version [ITIL]).Additional
• 1141AKnowledge of an organization's information classification program and procedures for information compromise.Additional
• 1157* Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity.Core
• 1158* Knowledge of cybersecurity principles.Core
• 1159* Knowledge of cyber threats and vulnerabilities.Core
• 6900* Knowledge of specific operational impacts of cybersecurity lapses.Core
• 6935* Knowledge of cloud computing service models Software as Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).Core
• 6938* Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments.Core
• 7010Knowledge of container orchestration and resource management platforms.Additional
• 7017Knowledge of data operations (DataOps) processes and best practices.Core
• 7020Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).Additional
• 7025Knowledge of how AI solutions integrate with cloud or other IT infrastructure.Additional
• 7026Knowledge of how commercial and federal solutions solve Defense-related data environment and platform challenges.Additional
• 7028Knowledge of how to automate development, testing, security, and deployment of AI/machine learning-enabled software.Additional
• 7029Knowledge of how to collect, store, and monitor data.Core
• 7036Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.Additional
• 7111* Knowledge of Zero Trust Security Model Principles.Core

• 187Skill in developing data models.Core
• 6650Skill in developing machine understandable semantic ontologies.Additional
• 7060Skill in designing the best approach and architecture for automated data labeling and data lifecycle.Core

The DCWF Tool lists no abilities for this work role.