Apply on Employer Site

Northrop Grumman · 1 day ago

Sr Principal Engr Sys Architect – MBSE Modeler (26-021 & 26-022 & 26-023) - R10219552-2

Huntsville, AL

Full-time

Onsite

Senior Level, Lead/Staff

$129K/yr - $194K/yr

6+ years exp

Northrop Grumman is a leading aerospace and defense technology company, seeking talented professionals to join their team. The Sr Principal Engineer Systems Architect – MBSE Modeler will play a crucial role in the Command and Control, Battle Management, and Communications (C2BMC) program, focusing on model-based systems engineering to support missile defense operations.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Developing and maintaining model quality by identifying Authoritative and Reference data sources to support model requirements and establishing appropriate workflows and processes to feed and sustain the models with that data at the appropriate cadence

Supporting the development of models and the MBSE team with the development and implementation of team processes, task planning, and training/coaching junior team members in various aspects of MBSE and the tools

Foster a solid technical relationship with government customers and partner organizations, both internal and external, to support the full Digital Engineering lifecycle for the program. This involves preparing and delivering briefings, as well as leading or representing our team in workshops and collaboration events

Work will be performed under the supervision of the MBSE Lead and will require the candidate to interface with other technical leads, product owners, C2BMC management, and government customers to ensure high-quality products are delivered on time and within available resources

Reviewing technical or procedural products, their content, and providing recommendations on technical products

Be actively involved in Agile development efforts, including iteration planning and status updates

Must be flexible to support various tasks on short notice

Qualification

Model-Based Systems EngineeringUML/SysML modelingCAMEO tool setINCOSE CSEP CertificationAgile methodologiesDOORS ClassicTeamwork-CloudIBM RhapsodySPARX EANoSQL databasesBig Data conceptsData management conceptsTechnical communication

Required

A Bachelor's Degree in STEM Computer Science, Systems Engineering, Mathematics, Physics, or a related field from an accredited university, along with 8 years of experience; or a Master's degree (preferred) in a STEM-related field with 6 years of relevant work experience; or a PhD in a related STEM discipline with 4 years of relevant work experience

Applicants must have a current, active in-scope DoD-issued Secret security clearance at the time of application, which is required to start

Willingness to travel up to 10% for business needs

Preferred

Master's Degree in Systems Engineering is highly preferred

Certification: INCOSE Certified Systems Engineering Professional (CSEP) Certification

Certification: Object Management Group Certified Systems Modeling Professional - Model Builder Fundamental (OCSMP - MBF)

Should have a good understanding of general systems engineering management practices and tools, including Agile, Atlassian JIRA, Confluence, and SharePoint

Having knowledge or the ability to administer these would be a definite advantage

Ability to create and manage RTMs, RVCMs, and similar products using the CAMEO tool set is a significant plus

Should have a solid understanding of basic data management concepts

Experience with or leading digital transformation efforts (DX) would be a big plus

Must have extensive experience developing UML/SysML models using Dassault Systèmes CAMEO and Teamwork-Cloud (TWC) or similar modeling platforms such as IBM Rhapsody or SPARX EA

Must have a solid understanding of MBSE and how it differs from legacy Systems Engineering methodologies

Must have experience working with Dynamic Object-Oriented Requirements (DOORs) Classic

Specifically managing requirements derivation, allocation, and traceability using both DOORS and CAMEO is highly desired

Experience developing, managing, and sustaining traditional RDBMS is highly desired

Experience or knowledge of NoSQL databases, as well as Big Data concepts such as “data quality,” pipelines, and integrations across databases, is a huge plus