Digital Engineering Data Solutions Architect (MTS2)

Draper Labs; Huntsville (AL); On-site; USD 75,000 - 150,000; Full time

Benefits offered by this job

Workplace flexibility

Employee clubs (e.g., photography, yoga)

Health and finance workshops

Discounts to local activities

Job summary

A leading research and development organization is seeking a Digital Engineering Data Solutions Architect to develop transformative data engineering architectures. Candidates should have a Master's degree in engineering and 3-5 years experience in systems analysis. This role emphasizes collaborative work in national security projects. Primary duties include executing engineering assignments and contributing technical content. Opportunities for professional growth in interdisciplinary work are available.

Qualifications

• M.S. or higher in Aerospace, Mechanical, Electrical Engineering, Physics, Mathematics, Computer Science.
• Experience in systems analysis with 3-5 years relevant experience.
• Knowledge in interdisciplinary systems engineering and machine learning.

Responsibilities

• Perform analysis approaches for specific problems.
• Execute system engineering lifecycle assignments.
• Contribute to technical reports and presentations.

Skills

Mathematical skills

Communication skills

Organizational skills

Collaboration in teams

Flexibility and adaptability

Education

Master's degree in relevant engineering field

Tools

MBSE tools

MATLAB/Simulink

Job description

Overview

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 at Draper 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
• Autonomous air/sea vehicles

Our multi‑disciplinary teams innovate and develop solutions for the full system development lifecycle in areas of importance for national security. 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, detailed modeling, model‑driven customer reviews, verification and validation, integration and testing, to deployment, surveillance and performance monitoring. Our thinking spans the entire gamut from "as‑designed" to "as‑deployed" lifecycle phases in supporting uncompromised delivery of solutions.

For this role, the ideal candidate will work as part of an interdisciplinary team, supporting the development of digital capabilities such as digital twins and digital threads, working closely with experienced engineers to learn and apply best practices. This role provides a foundation for growing expertise in data architecture, systems engineering, and advanced computing, with opportunities to contribute to innovative solutions. Communications and interpersonal skills are highly valued; the ability to communicate technical concepts effectively with customers, engineers, managers, and other stakeholders of all relevant disciplines is a must. Flexibility to multi‑task and adapt to evolving priorities will be required, and we value continuous learning and professional growth.

Preferred Qualifications

• An 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 managing data from interdisciplinary and various program protection levels.

Job Description

Duties/Responsibilities

• Performs analysis approaches for a particular problem and independently executes assignments.
• Independently executes system engineering lifecycle assignments; concept and architecture design, integration, testing, and operation.
• Contributes high‑quality content for technical reports and presentations with minimal guidance.
• Proactively identifies needs and concerns associated with design decisions and communicates them to project leadership.
• Contributes to the updates of best practices and processes to reflect the most up‑to‑date tools and procedures.
• Works in a collaborative multidisciplinary environment including stakeholders and external partners.
• Contributes to the translation of requirements into technical and architectural decisions.
• Performs 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; communications and interpersonal skills are highly valued.
• 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

• 3–5 years experience in systems analysis or related.
• Experience in use of MBSE tools such as SysML, knowledge of MATLAB/Simulink.
• Experience in integrating descriptive modeling tools with other simulation tools.

Additional Job Description

Applicants selected for this position will be required to obtain and maintain a government security clearance.

Job Location

• City: Cambridge
• State: Massachusetts
• Postal Code: 02139-3563

Salary

The US base salary range for this full‑time position is $75,000.00 – $150,000.00. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement’s approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits.

Benefits

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work‑life balance, including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off‑site social events, and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now at www.draper.com/careers.

Equal Opportunity Employer

Draper is committed to creating an inclusive environment. We understand the value of inclusivity and its impact on a high‑performance culture. 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 [e-mail].