Description:

dataplor is on a mission to comprehensively map and understand every commercial location on the planet, providing insights on over 350 million businesses and places.
The company is seeking a Solutions Engineer to drive revenue growth by designing and delivering data-driven solutions that address complex business challenges.
This role requires expertise in supporting the pre-sales process for Data-as-a-Service (DaaS) solutions, geospatial data products, or enterprise data platforms.
The Solutions Engineer will collaborate closely with prospects, customers, and internal teams, including Sales, Product, and Engineering, to demonstrate technical capabilities and craft solutions that align with customer needs and strategic goals.
Key responsibilities include collaborating with Account Executives, leading technical discovery, designing cloud data platform solutions, delivering presentations, identifying opportunities for extended use cases, contributing to internal solution playbooks, and maintaining a deep understanding of location-based intelligence.

Requirements:

Candidates must have 2+ years of experience in a pre-sales, sales engineering, solutions architecture, or technical consulting role, ideally in a data or SaaS company.
Applicants should be comfortable guiding prospects through best practices in data ingestion, transformation, enrichment, and visualization.
Strong programming skills in Python are required.
Advanced SQL experience is necessary, including querying large datasets and performing spatial analytics.
Excellent communication and storytelling skills are essential to align technical solutions with business value and drive deal momentum.
Candidates must demonstrate the ability to thrive in fast-paced, cross-functional environments and manage multiple technical sales engagements simultaneously.