Senior Solutions Architect, Data Scientist & Systems Engineer

What You’ll Do

As a Senior Solutions Architect, Data Scientist & Systems Engineer, you will serve as a key pre-sales technical partner supporting Slingshot’s government and commercial customers. You will work closely with Sales, Capture, Product, and Engineering teams to translate customer missions and technical requirements into scalable, data-driven solutions. In this role, you will combine solution architecture, applied data science, and systems engineering expertise to shape customer engagements, influence solution design, and support successful deal outcomes.

Position 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%)

Minimum 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%, or equivalent flexibility

Preferred Skills

• 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

Location: Remote, US

Salary: $99,000 - $166,000

US-based Candidates: we are currently only able to hire residents of the following U.S. states: 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, and WI. We are unable to consider candidates residing in other U.S. states at this time.

Internationally-based Candidates: we are currently only able to hire residents of the following locations: United Kingdom. We are unable to consider candidates residing in other countries at this time.

Equity, Diversity & Inclusion are key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for creating a safer, more connected world. Diversity not only includes race and gender identity, but also national origin, citizenship, sex, color, veteran status, disability, genetic information, or any other protected characteristic that is part of one’s identity. All of our employees’ points of view are key to our success, and we embrace individuality.