Principal Data Solutions Architect
Remote
Job Summary
Communicate GenLogs' data capabilities to high-value customers, uncovering pain points through discovery meetings and translating complex technical concepts into compelling narratives. Lead discovery on highest-value use cases, field technical questions in real time, and rapidly build proof-of-concept solutions to demonstrate value. Synthesize customer feedback into actionable technical requirements, partnering with data science and engineering teams to turn prototypes into scalable production solutions. Serve as the connective tissue between the marketplace and internal roadmaps, ensuring product development aligns with real customer demand. Build a reusable library of demos and narratives to scale impact across the organization.
Required Qualifications
- Proven experience translating between technical depth and business value
- Excellent communication and storytelling skills
- Hands-on data fluency: strong SQL
- Comfort working directly in a modern cloud data warehouse (Snowflake or equivalent)
- Ability to explore, model, and reason through large, complex datasets independently
- Ability to rapidly build prototypes and data applications
- Demonstrated ability to develop technical requirements and guide technical teams from concept through to a working, scalable solution
- Strong initiative and self-direction
- Comfort operating with ambiguity in a fast-moving environment
- Willingness and ability to travel to customers roughly 1-2 times per month
Desired Qualifications
- Prior consulting or professional services background
- Direct, confident customer-facing experience, ideally as a solutions architect, sales engineer, or technical expert in a sales cycle
- Domain experience in freight, logistics, supply chain, transportation, or insurance/underwriting
- Familiarity with fraud, risk, or anomaly-detection use cases
- Experience feeding customer insight into product roadmaps and prioritization
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