Digital Engineering Data Solutions Architect (MTS2)

About the role

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, and autonomous air/sea vehicles. Our multi-disciplinary teams innovate and develop solutions for 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, Draper has a suite of Digital Engineering solution needs across our projects. 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. The 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. 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 in this role. 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. We value continuous learning and professional growth. The preferred qualifications for this job include: - An M.S. degree or higher in Aerospace, Mechanical, or Electrical Engineering, Physics, Mathematics, Computer Science, or related field - Knowledge and interest in interdisciplinary work spanning Systems Engineering, Machine Learning and Data Science. - Experience with relational Ontologies, APIs, designing schemas for workflows - Experience with various types of data, data states, frequency, volume - Experience in managing data from interdisciplinary and various program protection levels Job Description: Duties/Responsibilities - Performs analysis approaches for a particular problem and independently execute assignments. - Independently execute system engineering lifecycle assignments; 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. - Contribute to 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 the 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 is critical, thus communications and interpersonal skills are highly valued in this role. - 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. - Knowledge and interest in interdisciplinary work spanning Systems Engineering, Model based Systems Engineeri