requirements as Standards adopted by U.S. and International organizations. Ensure capability Standards for GEOINT data, geospatial data, GEOINT, and for APIs satisfy requirements across AGENCY and partners. Create new ontologies to improve problem solving Collaborate, test, and assist others in development and use of geospatial standards. Responsible for progressing and maintaining official description of enterprise datasets Support the capture and … Working knowledge using MySQL or other relational databases Working knowledge of MS-Excel files Working experience with GEOINT metadata GEOINT domain experience Experience working with dimensionally modeled data Develop Ontologies and guide conceptual and logical models at the enterprise, segment, and solution level, spanning multiple special domains Working knowledge of relational databases constructs Understanding of basic concepts of Unified Modeling More ❯
development of GEOINT standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards. Ensure current and future GEOINT standards satisfy capability requirements at the program and strategic level across Agency, U.S. national organizations (NSG), and international partners (ASG). Develop capability-based … based modeling concepts, and logical data models. Design, development, presentation, and analysis of a domain based logical data model. Developing, maintaining and/or enhancing Logical Theories and formal Ontologies to include Resource Description Framework (RDF) and Web Ontology Language (OWL). Decomposition of object-based logical models in order to understand data requirements. Have familiarity with the major varieties … of a domain based logical data model. Decomposition of object-based logical models in order to understand data requirements. Develop, maintaining and/or enhancing Logical Theories and formal Ontologies to include: Resource Description Framework (RDF) and Web Ontology Language (OWL). Have familiarity with the major varieties of JSON (JSON-LD, GeoJSON, JSON-B, etc.). Have familiarity with More ❯
Design and develop Conceptual, Logical, and Physical Data Models to support robust data architectures. Produce high-quality documentation including data dictionaries, database designs, and data flow diagrams. Work with Ontologies and Knowledge Graphs to enhance semantic understanding of data. Utilise modelling tools such as Visio, Sparx Enterprise Architect, or Draw.IO. Apply modelling languages such as UML or Express-G to … experience in data modelling, including development of conceptual, logical, and physical data models. Strong ability to create and interpret data dictionaries, database designs, and data flow diagrams. Familiarity with ontologies and knowledge graphs in a data architecture context. Proficiency in using modelling tools such as Visio, Sparx Enterprise Architect, or Draw.IO. Competency in modelling languages such as UML and Express More ❯
Overview Ontology Data Architect LOCATION: Pentagon - Washington, DC JOB STATUS: Full Time CLEARANCE: Top Secret TRAVEL: As Needed Astrion has an exciting opportunity for an Ontology Data Architect (Jr Data Architect), supporting the Air ForceIn this role, the Data Architect will be at Headquarters Air Force (HAF) A2/A6 to support the Air Force Element of the Intelligence Community … of directly related experience required. Ability to advise senior management (e.g., CIO) on cost/benefit analysis of AF IC Information Environment programs, policies, processes, and systems, and elements Ontology Experience; Experience with any of the following: Basic Formal Ontology (BFO); Common Core Ontologies (CCO); Defense Intelligence Core Ontology (DICO); W3C or other semantic web standards. BI Tool experience using … control, and purge data. In accordance with IC and DoD direction, guidance and services of common concern, as well as industry frameworks, provide standard common business/mission vocabulary, ontology; express strategic requirements; outline high-level integrated designs to meet those requirements and align with enterprise data strategy and related mission and operational data architectures. Assistance can include, but is More ❯
requirements as Standards adopted by U.S. and International organizations. Ensure capability Standards for GEOINT data, geospatial data, GEOINT, and for APIs satisfy requirements across AGENCY and partners. Create new ontologies to improve problem solving Collaborate, test, and assist others in development and use of geospatial standards. Responsible for progressing and maintaining official description of enterprise datasets Support the capture and … Working knowledge using MySQL or other relational databases Working knowledge of MS-Excel files Working experience with GEOINT metadata GEOINT domain experience Experience working with dimensionally modeled data Develop Ontologies and guide conceptual and logical models at the enterprise, segment, and solution level, spanning multiple special domains. Working knowledge of relational databases constructs Understanding of basic concepts of Unified Modeling More ❯
data cataloging, metadata governance, or data discovery platforms Familiarity with semantic web or knowledge graph concepts (e.g., RDF, SKOS, OWL) and experience integrating these into usable data models. Formal ontology design is not required, but ability to collaborate with ontologists is essential Understanding of data governance frameworks or certifications (e.g., DAMA CDMP, DCAM) Exposure to the Bloomberg Terminal, Bloomberg API More ❯
of their system architecture and business processes. Along with growing your Systems Engineering skills, you will have the opportunity to learn about Government financial management systems, workflows, and data ontologies and gain hands-on experience with Business Process Engineering, capturing, modeling, and analyzing end-to-end business flows, identifying opportunities for process re-engineering. Leveraging the standardized suite of Enterprise … with FM Data Architecture SMEs, support FM data architecture activities. eg., Capturing of FM data architecture and data flows Expansion of FM data management approach Maturation of the FM Ontology Collaboration with the NGA Chief Data Office Team to ensure alignment to Agency data management and governance practices, policies, and initiatives Participate in Digital Engineering Program Increment Planning Events, working More ❯
future-state architecture. Supporting FM risk management and mitigation planning related to architecture transformation. Collaborating with FM teams and Data SMEs to enhance FM data architecture, data flows, and ontology development. Ensuring alignment with NGA's Chief Data Office and enterprise data governance practices. Participating in Agile Digital Engineering PI Planning and technical exchange meetings (TEMs).What You'll Gain More ❯
Base, IL; Omaha, NE; Halawa, HI Overview: As an Information Architect, you will be responsible for enabling mission-aligned AI solutions by establishing the taxonomies, metadata, content models, and ontologies needed to ensure trustworthy, repeatable, and explainable system behavior. Working closely with data scientists, engineers, UX designers, and stakeholders from CDAO HQ and embedded teams, the Information Architect will help … with UX, data, and engineering teams to define content models that support AI utilities (e.g., chatbots) and tools (e.g., task processors, auto-taggers). o Lead the development of ontologies that provide machine-readable context for key mission concepts, aligning with DoD data frameworks and policy. o Define labeling strategies that ensure consistency, retrievability, and explainability across datasets. Objective … Qualifications: • Experience: 5+ years in information architecture, content modeling, or knowledge management with a focus on data-intensive systems. Demonstrated experience with taxonomy design, metadata management, data labeling, or ontology creation in support of AI/ML systems. • Certifications: Relevant certifications such as TOGAF, Certified Information Systems Security Professional (CISSP), or SAFe Architect recommended. • Technical Skills: Proficiency in designing data More ❯
leave, a free employee assistance program, and a competitive 401k savings plan. At Watermark, our people come first! Data Analyst In this role you will Execute Data Pipeline and Ontology Development and shall have experience working in dynamic environments with stakeholders from multiple external organizations. Experience Requirements: Shall have at least 1 year working with data engineering in the Palantir … Foundry data integration platform or approved equivalent, inclusive of both data pipelines and complex ontology development. Have demonstrable extensive knowledge of distributed computing frameworks (e.g., Spark) and Foundry programming languages (Python, PySpark, SQL, TypeScript). Strong background in data analysis, data modeling, or a similar domain. Expertise in evaluating data elements, object names, and their attributes, with a keen eye More ❯
harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering domain. Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker). Experience with data More ❯
harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering domain. Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker). Experience with data More ❯
harmonisation and consistency in requirement definition and Verification & Validation activities. Conclude and review the data model to decide on full deployment. Essential skills Strong understanding of AI concepts, benefits, ontology, taxonomy, and applications. Experience in deploying AI to support productivity improvements in the engineering domain. Proficiency in container management and orchestration platforms (e.g., Rancher, Kubernetes, Docker). Experience with data More ❯
knowledge of the application of modern Systems Engineering methods to large-scale system development, including a variety of system types Experience of Systems Engineering technical methods and practices, including ontologies, modelling languages, architecture frameworks, processes and tooling Experience in modern information technology and methods such as cloud, secure by design, triple store databases, etc would be required Degree qualified in More ❯
knowledge of the application of modern Systems Engineering methods to large-scale system development, including a variety of system types Experience of Systems Engineering technical methods and practices, including ontologies, modelling languages, architecture frameworks, processes and tooling Experience in modern information technology and methods such as cloud, secure by design, triple store databases, etc would be required Degree qualified in More ❯
relational and graph databases, and knowledge of graph algorithms. Familiarity with one or more query languages (e.g. SQL and Cypher) is desirable but not essential. Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning is desirable but not essential. Essential: Experience in software development in Python. Essential: Experience with at least one ML framework: TensorFlow, Pytorch. Ability More ❯
business problems, especially in data-rich, high-impact environments. Key Responsibilities include: Design and deliver end-user applications using low-code development environments such as Palantir Foundry's Workshop, Ontology Builder, and pipelines - or equivalents on platforms like Power Platform or Mendix. Collaborate with stakeholders and users to understand requirements, map workflows, and build interactive applications with minimal traditional code. More ❯
advanced analytic techniques and assessments. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph capabilities. • Evaluates data science, artificial intelligence, and other advanced analytic methods for risks More ❯
development of GEOINT Standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards. Ensure current and future GEOINT standards satisfy capability requirements at the program and strategic level across NGA, NSG, and ASG. Develop capability-based standards profiles and reference architectures to More ❯
Science, Geospatial Information Systems, Data Engineering, AI/ML, or a related field. Experience with geospatial operations, data and product processing, and AI-driven mapping technologies. Experience in target ontology, identifying man-made and natural features from EO/SAR imagery. Understanding of augmented reality (AR) and edge computing Experience with NGA programs, IC data production standards, or government delivery More ❯
Science, Geospatial Information Systems, Data Engineering, AI/ML, or a related field. Experience with geospatial operations, data and product processing, and AI-driven mapping technologies. Experience in target ontology, identifying man-made and natural features from EO/SAR imagery. Understanding of augmented reality (AR) and edge computing Experience with NGA programs, IC data production standards, or government delivery More ❯
lineages, data definitions and metadata for all business-critical data domains. Apply knowledge of reference models to data architecture design and maintain alignment with standards and best practices for ontology representation. Develop data governance framework that aligns with user needs and data governance practices and standards. Implement data architecture initiatives on data quality, data governance, data standards, and data policies More ❯
and adherence to tradecraft standards. • Collaborate with team members to develop and refine exploratory efforts leveraging novel technologies (e.g. large language models, natural language processing, machine learning) to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph capabilities. • Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols to evaluate More ❯
and data-driven. To do that, we build the systems that model metadata across thousands of components in our Market Data Pipeline. We design and maintain the Market Data Ontology and Knowledge Graph, enabling rich context, traceability, and insight across the platform. Our systems power operational awareness, automation, and strategic investment decisions. We partner across engineering, platform, and infrastructure to … standards, surface gaps, and drive reliability across one of the world's most critical real-time data platforms. What You'll Do Expand and maintain the Market Data Pipeline Ontology, our semantic model for system metadata. Build and extend ETL plugins that collect, transform, and aggregate metadata from key systems. Develop intuitive GUIs and interfaces to expose system insights and … C++ Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills-especially across infrastructure, SRE, and product teams. We'd Love to See Experience with semantic technologies: ontologies, RDF, or graph databases (e.g., Neo4j, RDF4J). Familiarity with ETL or EIS platforms like Apache Camel or Airflow. Knowledge of financial market data, especially around latency, availability, and correctness. More ❯
and data-driven. To do that, we build the systems that model metadata across thousands of components in our Market Data Pipeline. We design and maintain the Market Data Ontology and Knowledge Graph, enabling rich context, traceability, and insight across the platform. Our systems power operational awareness, automation, and strategic investment decisions. We partner across engineering, platform, and infrastructure to … standards, surface gaps, and drive reliability across one of the world's most critical real-time data platforms. What You'll Do Expand and maintain the Market Data Pipeline Ontology, our semantic model for system metadata. Build and extend ETL plugins that collect, transform, and aggregate metadata from key systems. Develop intuitive GUIs and interfaces to expose system insights and … C++ Experience designing, scaling, and operating distributed systems. Strong collaboration and communication skills-especially across infrastructure, SRE, and product teams. We'd Love to See Experience with semantic technologies: ontologies, RDF, or graph databases (e.g., Neo4j, RDF4J). Familiarity with ETL or EIS platforms like Apache Camel or Airflow. Knowledge of financial market data, especially around latency, availability, and correctness. More ❯
