Data Architect with AIML experience

• Assist in the documentation of data and technical related policies standards and procedures.
  
• Design and maintain logical and conceptual data models in support of enterprise and project-level initiatives.
  
• Work closely with Chief Enterprise Architect on Artificial Intelligence Enterprise and Data Architecture and Technical Reference Architecture.
  
• Develop data and other architecture products such as data flow diagrams data dictionaries and canonical data models to support modernization and interoperability.
  
• Collaborate with stakeholders enterprise architects and system owners to identify data requirements and align them with enterprise standards.
  
• Provide architectural guidance for data integration data sharing interoperability and data quality best practices.
  
• Develop CDMs LDMs and translating physical schemas into LDMs in support of a Data Registry
  
• Prepare and conduct customer presentations and briefings
  
• Support data integration and Artificial Intelligence (AI) / Large Language Model (LLM) evolution within organizations Enterprise Architecture
  
• Support metadata and master data management initiatives.
  
• Provide technical advice on Artificial Intelligence Machine Learning High Performance Computing containerization dynamic scaling blockchain and other advanced technology development.
  

Requirements

• Bachelors degree in Information Systems Computer Engineering/Science Data Science or a related field. Equivalent work experience will be considered.
  
• Must have US citizenship and the ability to obtain a DoD clearance if necessary.
  

• 5 years of experience in data architecture data modeling or enterprise data design.
  
• 5 years of experience working with AWS and MS Azure enterprise data and AI/ML solutions
  
• 2 years of experience in the use of AI/ML models and LLMs. Exposure to model training.
  
• Hands-on experience designing and maintaining logical and conceptual data models including the creation of data flow diagrams data dictionaries and data models.
  
• Experience working with relational and non-relational databases (e.g. Oracle SQL Server PostgreSQL MongoDB).
  
• Practical experience in integrating disparate data sources and supporting data modernization and interoperability initiatives.
  
• Experience in the development and documentation of data-related policies standards and procedures ensuring alignment with enterprise and federal requirements.
  
• Hands-on experience in prompt development and agent creation.
  

• Familiarity in data modeling tools.
  
• Familiarity with enterprise system architecture frameworks such as FEAF ArchiMate or DODAF.
  
• Understanding of enterprise data domains healthcare data standards or government data governance practices (preferred).
  
• Knowledge of federal data strategy and compliance requirements (e.g. HIPAA FISMA).
  
• Familiarity with ETL tools and data integration platforms.
  
• Understanding of data analytics and reporting tools such as Tableau or Power BI.
  
• Prefer experience supporting the integration of Artificial Intelligence (AI) and Large Language Models (LLMs) into enterprise data architectures. This includes understanding AI/LLM capabilities prompt engineering and the ethical/legal considerations of deploying these technologies in a government context.
  
• Hold certifications such as CDMP TOGAF and Cloud certifications.
  

Benefits