Principal Data Solutions Architect
๐ข GenLogs Corporation ยท all GenLogs Corporation jobs
๐ United States
๐
Posted 2026-08-09 ยท via Himalayas
๐ท Data-Solutions-Architect,Solutions-Architect,Technical-Pre-Sales,Sales-Engineering,Data-Architecture,Principal-Data-Architect,Lead-Data-Architect,Cloud-Data-Solutions-Architect,Data-and-BI-Solution-Architect
Apply on original site โGenLogs is building the freight intelligence platform for the $1T+ ground freight industry. Using a nationwide network of roadside sensors, cameras, and satellites โ combined with commercial and open-source datasets โ we capture real-time, empirical observations of commercial truck and trailer movement across the U.S. Where the industry has historically relied on self-reported data and infrequent inspections, GenLogs delivers ground truth.
That dataset powers a range of high-stakes workflows: brokers and shippers source and vet capacity, insurers underwrite and investigate against real movement patterns, and carriers and agencies fight the ~$35B in annual cargo theft and freight fraud. We're a fast-moving, well-funded company (most recently a $60M Series B) with deep roots in intelligence and tracking, and we're just getting started.
ABOUT THE JOB
The Principal Data Solutions Architect is the bridge between what GenLogs' data can do and the problems our customers most need solved. You'll spend your time in front of our highest-value current and prospective customers, uncovering their biggest pain points, communicating the "art of the possible" with GenLogs' capabilities, and rapidly translating that into proof-of-concept solutions and recommendations that unlock real value.
This is a role for someone who is equally comfortable dissecting a Snowflake schema and standing in front of a room of underwriters or brokerage leaders telling a compelling, concrete story. You'll operate as a trusted technical expert in the sales and customer journey, and as the connective tissue that carries customer reality back to our internal data science, engineering, and product teams โ making sure what we build is what the market actually demands.
You'll need strong initiative: much of the value in this role comes from becoming deeply, intimately familiar with our data environment, core capabilities, and constraints faster than anyone expects, so you can innovate with confidence and credibility.
What You'll Do
Communicate the art of the possible
- Clearly articulate GenLogs' core capabilities so customers can extract optimal value from the platform and data.
- Compile and share relevant, concrete examples and demonstrations tailored to each customer's context and industry (brokerage, insurance, carrier, government).
- Use storytelling to simplify complex data capabilities โ walking listeners through specific examples intuitively and connecting them to broader capabilities and business impact.
Discover and diagnose customer problems
- Meet with high-value current and prospective customers (roughly 1โ2 trips per month) to share Genlogs foundational data initiatives and current-state capabilities.
- Lead discovery on the highest-value use cases, uncovering the biggest problems and pain points, and gathering actionable feedback.
- Field detailed technical questions in real time, serving as the technical expert in the sales process and reacting on the fly with ideas that steer conversations toward value.
Synthesize and build solutions
- Combine deep knowledge of GenLogs data with an intuitive sense for business context to identify the most valuable problems and prioritize accordingly.
- Rapidly innovate and develop proof-of-concept solutions to demonstrate value and validate direction.
- Develop technical requirements, build working prototypes, and partner with internal data scientists and engineers to turn POCs into robust, scalable, production solutions.
- Guide the work of technical teams and help stand up new, innovative capabilities.
Serve as connective tissue
- Channel customer feedback back into the organization to inform technical development approach and priorities.
- Act as a strong internal advocate for customer value, ensuring internal focus is aligned with real marketplace demand.
- Partner cross-functionally with product, engineering, data science, sales, and leadership to close the loop between the field a