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Digital Engineering Data Solutions Architect (MTS2)The Charles Stark Draper Laboratory, Inc. • Cambridge, Massachusetts, United States
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Digital Engineering Data Solutions Architect (MTS2)

The Charles Stark Draper Laboratory, Inc.
  • US
    Cambridge, Massachusetts, United States
  • US
    Cambridge, Massachusetts, United States
Jetzt Bewerben

Über

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross‑fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com. Job Description Summary
The Data Retrieval, Engineering, Architecture, and Management (DREAM) Group is seeking a Digital Engineering Data Solutions Architect to develop next‑generation Relational Cross‑Domain Data Digital Engineering Architecture for domains such as strategic deterrent systems, missile defense systems, hypersonic missiles, space systems, precision‑guided munitions, and autonomous air/sea vehicles. Draper has adopted an integrated, model‑driven digital mindset in solving Systems Engineering problems spanning the entire lifecycle—from early‑lifecycle conceptual system design and architecture, through detailed modeling, model‑driven customer reviews, verification and validation, integration and testing, to deployment, surveillance and performance monitoring. The ideal candidate will support the development of digital capabilities like digital twins and digital threads, working closely with experienced engineers to learn and apply best practices. Preferred Qualifications
M.S. degree or higher in Aerospace, Mechanical, Electrical Engineering, Physics, Mathematics, Computer Science, or a related field. Knowledge and interest in interdisciplinary work spanning Systems Engineering, Machine Learning and Data Science. Experience with relational ontologies, APIs, and designing schemas for workflows. Experience with various types of data, data states, frequency, and volume. Experience in managing data from interdisciplinary and various program protection levels. Duties & Responsibilities
Perform analysis approaches for a particular problem and independently execute assignments. Execute system engineering lifecycle assignments independently, including concept and architecture design, integration, testing, and operation. Contribute high‑quality content for technical reports and presentations with minimal guidance. Proactively identify needs and concerns associated with design decisions and communicate them to project leadership. Contribute to the updates of best practices and processes to reflect the most up‑to‑date tools and procedures. Work in a collaborative multidisciplinary environment including stakeholders and external partners. Translate requirements into technical and architectural decisions. Perform other duties as assigned. Skills & Abilities
Excellent mathematical skills. Thorough understanding of engineering theories and procedures. Ability to collaborate within a diverse and multidisciplinary team. Excellent verbal and written communication skills. Excellent organizational skills and attention to detail. Excellent time‑management skills with a proven ability to meet deadlines. Ability to become knowledgeable in various problem domains, identify relevant modeling and analysis techniques, and develop or integrate multi‑domain qualitative models. Ability to present results that support system‑level analysis, performance trade‑offs, and decision‑making. Flexibility to multi‑task and adapt to evolving priorities. Knowledge and interest in interdisciplinary work spanning Systems Engineering, Model based Systems Engineering (MBSE), Trade Space Exploration (TSE), Machine Learning and Data Science. Education
Bachelor’s degree in Aerospace, Electrical, Mechanical, or other relevant Engineering field. Master’s degree preferred. Experience
Requires 3–5 years of experience in systems analysis or related fields. Experience using MBSE tools such as SysML, and knowledge in MATLAB/Simulink. Experience integrating descriptive modeling tools with other simulation tools. Additional Job Requirements
Applicants selected for this position will be required to obtain and maintain a government security clearance. Location
Cambridge, Massachusetts 02139‑3563 Salary
USD 75,000.00–156,000.00 per year (base salary only; does not include bonuses or benefits). Equal Opportunity
Draper is committed to creating an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, national origin, veteran status, or genetic information. Draper is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.
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  • Cambridge, Massachusetts, United States

Sprachkenntnisse

  • English
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