Data Architect with AI/ML experience

Access-HR, Inc.

4d•$120,000 - $180,000•Hybrid

About The Position

Our client is a nationally respected provider of health, science, and technology solutions supporting clients in the government and commercial sectors. They provide comprehensive enterprise information technology, strategic sourcing, and management solutions to DoD and federal civilian agencies in 40 states. Our client is currently seeking a full-time, mid-to-senior level Data Architect with AI/ML experience to support its Federal customers. This role will help define and implement our customers' data and AI strategies by contributing to architectural artifacts, data modeling, metadata management, and governance practices, ensuring alignment with Enterprise Architecture (System) and Data Management policies. Qualified candidates are urged to apply to learn more about this great opportunity! Work Location: Laurel, MD area with Hybrid Options. This position may require occasional travel to customers in and around the Baltimore, MD and Washington, DC area.

Requirements

Bachelor's 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.

Nice To Haves

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.

Responsibilities

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 organization's 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.