Data/AI (DA)
DCWF 653
Data Architect
Designs a system's data models, data flow, interfaces, and infrastructure to meet the information requirements of a business or mission.
Tasks
The concrete work activities defined for this role in the DCWF v5.1 spreadsheet. Core tasks are required for the role; additional tasks are associated but not mandatory.
- T401 additional Analyze and plan for anticipated changes in data capacity requirements.
- T408 additional Analyze information to determine, recommend, and plan the development of a new application or modification of an existing application.
- T466A additional Consult with customers and key stakeholders to evaluate functional requirements for AI and data applications.
- T5140 additional Confer with systems analysts, engineers, programmers and others to design applications.
- T5841 additional Advise higher level leadership on critical data management issues.
- T5854 additional Collaborate with appropriate personnel to address Personal Health Information (PHI), Personally Identifiable Information (PII), and other data privacy and data reusability concerns for AI solutions.
- T5885 additional Examine and identify database structural necessities by evaluating operations, applications, and programming.
- T5896 additional Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.
- T5908 additional Prepare database design and architecture reports.
- T6190 additional Effectively allocate storage capacity in the design of data management systems.
- T815 additional Provide recommendations on new database technologies and architectures.
Knowledge, Skills, and Abilities
KSA statements define what a person filling this role knows or can do. "Knowledge" is what they must know, "Skill" is what they can perform, and "Ability" is a durable capacity they bring to the work.
- K0028 knowledge core Knowledge of data administration and data standardization policies and standards.
- K0135 knowledge core Knowledge of the capabilities and functionality associated with various technologies for organizing and managing information (e.g., databases, bookmarking engines).
- K0137 knowledge core Knowledge of the characteristics of physical and virtual data storage media.
- K7017 knowledge core Knowledge of data operations (DataOps) processes and best practices.
- K7029 knowledge core Knowledge of how to collect, store, and monitor data.
- S187 skill core Skill in developing data models.
- S7060 skill core Skill in designing the best approach and architecture for automated data labeling and data lifecycle.
- K0079 knowledge additional Knowledge of network access, identity, and access management (e.g., public key infrastructure [PKI]).
- K0296 knowledge additional Knowledge of how information needs and collection requirements are translated, tracked, and prioritized across the extended enterprise.
- K0942 knowledge additional Knowledge of the organization's core business/mission processes.
- K0952 knowledge additional Knowledge of emerging security issues, risks, and vulnerabilities.
- K1034A knowledge additional Knowledge of Personally Identifiable Information (PII) data security standards.
- K1034C knowledge additional Knowledge of Personal Health Information (PHI) data security standards.
- K1133 knowledge additional Knowledge of service management concepts for networks and related standards (e.g., Information Technology Infrastructure Library, current version [ITIL]).
- K1141A knowledge additional Knowledge of an organization's information classification program and procedures for information compromise.
- K7010 knowledge additional Knowledge of container orchestration and resource management platforms.
- K7020 knowledge additional Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).
- K7025 knowledge additional Knowledge of how AI solutions integrate with cloud or other IT infrastructure.
- K7026 knowledge additional Knowledge of how commercial and federal solutions solve Defense-related data environment and platform challenges.
- K7028 knowledge additional Knowledge of how to automate development, testing, security, and deployment of AI/machine learning-enabled software.
- K7036 knowledge additional Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.
- S6650 skill additional Skill in developing machine understandable semantic ontologies.