Model Based Systems Engineer

PMAT•San Diego, CA

2d•$80,000 - $100,000•Onsite

About The Position

PMAT is seeking an experienced Model-Based Systems Engineer to support enterprise architecture development, digital engineering, and system-of-systems integration across Navy operational and technical environments. The role helps establish and maintain standardized architecture development processes, governance frameworks, data structures, and modeling practices for consistent engineering and informed organizational decision-making. The engineer will collaborate with systems engineering, mission engineering, cybersecurity, data engineering, and Palantir development teams to integrate architecture models, operational data, and engineering artifacts into connected digital environments, including Maven Smart System (MSS). The position applies strong systems engineering fundamentals and model-based methodologies to translate operational requirements into structured architectures, data models, and actionable engineering insights supporting capability development, integration, and sustainment. This is a 100% on-site position in San Diego, California. Travel is 15% CONUS and OCONUS. Work may take place in PMAT offices or, when required, a government facility. Travel may be needed for customer engagement, team coordination, and potentially business development. U.S. citizenship with no dual citizenship and an active SECRET security clearance are required; TS/SCI eligibility is preferred. A bachelor’s degree or equivalent experience is required.

Requirements

Strong experience performing Model-Based Systems Engineering, systems engineering, enterprise architecture development, digital engineering, or related technical disciplines.
Experience developing, maintaining, and analyzing system or SoS architectures, requirements, interfaces, operational workflows, and technical dependencies.
Experience using MBSE methodologies, modeling languages, and collaborative digital engineering environments to support system design, analysis, integration, verification, and validation.
Understanding of architecture development processes, governance practices, modeling standards, configuration management, and engineering lifecycle management.
Experience developing or supporting data models, data dictionaries, information architectures, metadata definitions, or structured engineering data repositories.
Experience integrating engineering models, technical data, requirements, and system information across multiple disciplines, platforms, or organizational environments.
Understanding of digital thread concepts and the use of connected engineering information to improve requirements traceability, system integration, and lifecycle decision-making.
Experience collaborating with systems engineers, mission engineers, software developers, cybersecurity personnel, data engineers, and other technical stakeholders to align architectures with operational and technical requirements.
Understanding of cybersecurity principles, risk management, security requirements, and their application within systems engineering and acquisition processes.
Strong analytical and problem-solving skills, including the ability to evaluate complex system relationships, identify architectural gaps, and develop actionable engineering recommendations.
Strong written and verbal communication skills, including the ability to develop technical documentation, communicate architectural concepts, and present engineering findings to technical and program leadership.
Bachelor’s degree or equivalent experience.
U.S. citizenship; dual citizenship is not permitted.
SECRET security clearance required.

Nice To Haves

Experience with MagicDraw, Cameo Systems Modeler, Sparx Enterprise Architect, IBM Rational Rhapsody, System Architect, or similar MBSE and enterprise architecture modeling platforms.
Experience with SysML, DoDAF, UAF, or other architecture modeling standards and methodologies.
Experience establishing enterprise architecture governance, standardized modeling processes, reusable architecture components, model repositories, or organizational digital engineering practices.
Experience developing enterprise data dictionaries, ontologies, data schemas, authoritative data source mappings, or semantic models supporting operational analysis and system interoperability.
Experience with Palantir Foundry, Maven Smart System (MSS), Ontology development, or integration of engineering and operational data into enterprise data platforms.
Familiarity with WARPATH, SWIO, or similar initiatives involving integration of operational data, engineering information, and mission-focused applications.
Experience supporting Mission Engineering, mission thread analysis, operational architecture development, product integration, or alignment of engineering capabilities with operational mission requirements.
Experience supporting Navy, NAVWAR, NIWC, Naval Operational Architecture (NOA), Department of War, or other government systems engineering and acquisition environments.
Experience supporting RMF, SETRs, cybersecurity readiness assessments, cyber risk-to-mission evaluations, or security requirements throughout the acquisition lifecycle.
Experience evaluating SoS cybersecurity architectures, defense-in-depth strategies, common and inheritable security controls, or cybersecurity risks associated with enterprise architecture development.
Familiarity with IATA, TSN, SCRM, cloud security, ICS, or SCADA environments.
Experience developing architecture products, technical analyses, engineering reports, and recommendations for IPTs, SETRs, PTRBs, CCBs, or other technical review and governance processes.
Experience supporting RDT&E, acquisition planning, system modernization, capability integration, or enterprise architecture transformation initiatives.
OMG SysML certification, including SysML Model User, SysML Model Builder – Fundamental, or SysML Model Builder – Intermediate.
INCOSE certification, including ASEP or CSEP; PMAT is trying to build an INCOSE-certified cadre.
TS/SCI eligibility.

Responsibilities

Develop, implement, and maintain enterprise-wide architecture development processes, governance frameworks, modeling standards, and engineering practices to ensure consistency, traceability, and interoperability.
Apply MBSE methodologies to system and SoS requirements development, architecture design, analysis, integration, verification, validation, and sustainment throughout the acquisition lifecycle.
Define and maintain enterprise data dictionaries, data structures, relationships, and metadata standards; identify authoritative data sources, establish common definitions, and connect operational questions to the data needed to answer them.
Collaborate with Palantir development teams to capture, structure, and integrate architecture models, operational data, and engineering information within MSS, using approaches demonstrated through initiatives such as WARPATH and SWIO.
Coordinate with Mission Engineering teams to align enterprise architectures, operational mission threads, system interfaces, and technical requirements with product development and integration activities.
Develop and maintain a connected digital thread across systems engineering, mission engineering, cybersecurity, configuration management, acquisition, and other engineering disciplines to improve traceability and technical decision-making.
Develop, maintain, and analyze architecture models, system relationships, interfaces, operational workflows, and technical dependencies using established MBSE frameworks, modeling languages, and digital engineering environments.
Integrate cybersecurity throughout the engineering and acquisition lifecycle by incorporating security requirements, identifying architectural risks, evaluating system dependencies, and documenting cybersecurity considerations in system models and engineering artifacts.
Provide technical analysis and architectural recommendations for Integrated Product Teams (IPTs), Systems Engineering Technical Reviews (SETRs), Platform Technical Review Boards (PTRBs), Configuration Control Boards (CCBs), and other engineering governance activities.
Develop and maintain engineering documentation, architecture diagrams, data models, technical reports, analysis products, and leadership briefings; coordinate with engineering teams and organizational stakeholders to support architecture adoption and continuous improvement.