Senior Solutions Architect, Data Scientist & Systems Engineer
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Slingshot AerospaceAerospace, Defense
US: AZ, CA, CO, DC, FL, GA, HI, IL, IN, KS, MD, MA, MI, MN, MO, MT, NV, NJ, NM, NY, NC, OR, RI, TN, TX, UT, VT, VA, WA, WV, WI; United KingdomFull-TimeSenior
Salary99000 - 166000 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- PythonSQLData science
Requirements
- 8+ years of professional experience in solutions architecture, systems engineering, data science, or related technical roles, or equivalent experience
- Experience supporting customer-facing or pre-sales technical engagements
- Strong understanding of system architectures, data flows, and analytical or software-driven solutions
- Ability to communicate complex technical concepts clearly to both technical and non-technical audiences
- Demonstrated experience collaborating across Sales, Product, and Engineering teams
- Bachelor’s degree in engineering, computer science, data science, or a related technical field, or equivalent experience
- Ability to travel up to 20–25%
- Experience in a pre-sales engineer or solutions architect role supporting complex enterprise or government customers
- Background in data analytics, modeling, or applied data science
- Familiarity with space, defense, aerospace, or mission-focused technology domains
- Experience supporting proposal responses, RFIs, or customer demonstrations
- Comfort working in fast-paced, evolving technical and go-to-market environments
Responsibilities
- Partner with Sales and Capture teams throughout the pre-sales lifecycle to support opportunity qualification, solution design, and technical alignment
- Engage directly with customers to understand mission objectives, operational workflows, data environments, and technical constraints
- Architect end-to-end solutions that integrate Slingshot products, data pipelines, analytics, and external systems
- Develop and deliver technical briefings, solution overviews, demonstrations, and whiteboard sessions for customer and partner audiences
- Translate customer requirements into clear technical inputs for Product and Engineering teams
- Apply data science and systems engineering principles to evaluate solution feasibility, performance, and scalability
- Support proposal development, including technical volumes, architectures, and solution narratives
- Collaborate cross-functionally to ensure proposed solutions are achievable, aligned to roadmap, and responsive to customer needs
- Provide feedback from customer engagements to inform product strategy and technical prioritization
- Perform other duties as assigned (less than 10%)
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