System Architect

The Systems Architect is a senior-level IT professional responsible for designing, integrating, and overseeing complex technology systems that align with business goals.
They analyze organizational needs, translate them into technical requirements, and develop scalable, secure, and efficient architectures across infrastructure, applications, and data environments.
Systems Architects collaborate closely with stakeholders, engineers, and project managers to ensure solutions are cost-effective, future-ready, and compliant with standards. They evaluate emerging technologies, recommend improvements, and provide technical leadership throughout the system lifecycle.
With expertise in cloud platforms, networking, security, and enterprise applications, Systems Architects serve as the bridge between business strategy and technical execution, ensuring that IT systems are reliable, adaptable, and deliver long-term value.

We are seeking a Senior Systems Architect with 15+ years of overall engineering experience and deep expertise in Model-Based Systems Engineering (MBSE) to lead the design, integration, and governance of complex systems across their full lifecycle.
This role will drive MBSE implementation, ensure alignment between business, technical, data, and cybersecurity domains, and serve as a key contributor to the enterprise digital engineering strategy.
The ideal candidate will bring technical depth, leadership skills, and cross-domain collaboration experience—particularly with Data Architects and Cybersecurity Architects—to ensure systems are data-driven, secure, and aligned with enterprise and mission objectives.Key Responsibilities:
System Architecture & MBSE:

• Define and maintain system architectures using MBSE methodologies, leveraging tools such as Cameo/MagicDraw, Capella, Rhapsody.
• Model system requirements, behavior, structure, and interfaces using SysML and related modeling languages.
• Lead the development and evolution of the system model as a central, authoritative reference throughout the lifecycle.

Cross-Disciplinary Collaboration:

• Collaborate with Data Architects to integrate system data flows, ontologies, and metadata into architecture models.
• Work closely with Cyber Architects to ensure secure system design, threat modeling, and compliance with cybersecurity standards (e.g., NIST, RMF).
• Drive alignment between systems, data, and security models to support the digital thread and digital twin initiatives.

Leadership & Strategy:

• Provide technical leadership across engineering teams and mentor junior engineers on MBSE best practices.
• Champion the use of digital engineering, model governance, and toolchain integration across the enterprise.
• Facilitate and l*** technical reviews (SRR, PDR, CDR), architecture trade studies, and stakeholder walkthroughs.

Lifecycle & Integration:

• Support systems engineering activities throughout the lifecycle—from concept development to V&V and sustainment.
• Ensure model traceability to requirements, test cases, and implementation artifacts.
• Integrate MBSE with PLM, ALM, and other enterprise tools to enable consistent, model-centric workflows.

Process & Compliance:

• Ensure compliance with industry standards such as INCOSE SE Handbook, ISO/IEC/IEEE 15288, DoDAF, or UAF.
• Establish modeling conventions, model quality checks, and model repository governance.

Required Qualifications:

• Education:
  Bachelor’s or Master’s degree in Systems Engineering, Electrical/Mechanical Engineering, Computer Science, or related technical field.
• Experience:
  • 15+ years of experience in software, electrical, mechanical, computer engineering, or related fields.
  • 5+ years of hands-on MBSE experience applying SysML and MBSE tools in real-world systems development.
  • Demonstrated experience collaborating with both Data and Cybersecurity Architects to deliver integrated, secure, and scalable system solutions.
• Technical Skills:
  • Advanced proficiency in MBSE tools (e.g., Cameo Systems Modeler, Rhapsody, Capella, or Enterprise Architect).
  • Solid understanding of secure system design and data architecture principles.
  • Familiarity with scripting and automation (e.g., MATLAB, Python, JavaScript) is a plus.