Senior Digital Engineering Data Solutions Architect

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. Job Description: Duties/Responsibilities - Independently execute system engineering lifecycle assignments. - Adapt appropriately to changes in program priorities and requirements. - Adheres to existing best practices and Quality Management System processes. - Continues to expand their depth/knowledge in their technical discipline through formal and informal learning. - Work within multi-disciplinary teams and independently execute assignments - Drive solutions to complex problems with limited direction - Lead small teams (few than five people) and align team towards program goals. - Provides insight and suggests design modifications based on analysis outcomes, and to apply analysis techniques across a range of technical challenges - Identify program/system-level technical risks and develop and execute mitigation strategies. - Actively mentor less experienced engineers and provide thoughtful, constructive feedback - Performs other duties as assigned. Skills/Abilities - Highly-organized, capable of approaching problems with a system-level perspective. - Strong oral and written communication skills. - Practical experience with simulation-based performance analysis. - Practical experience with the systems engineering process. - Roles may require proficiency with modeling and simulation, computer language coding, descriptive modeling (e.g. SysML), STPA, and/or other engineering analysis tools - Knowledge of GN&C, avionics architectures, fault tolerance, cyber/security, comms/encryption, threat modeling or other technologies may be required as defined in the summary. Education Bachelor's degree in engineering, physics, mathematics, or related field. Masters degree or higher preferred.