Solutions Engineer – Data-as-a-Service (DaaS) & Geospatial Data
United States
Engineering /
Remote
About Us
Our mission at dataplor is to comprehensively map and understand every commercial location on the planet. We provide insights on every merchant in the world, covering 350M+ businesses and places, empowering organizations with high-quality location intelligence to drive strategic decision-making. After more than doubling our revenue last year, we closed a Series B round of funding and are excited to grow the team and take this rocketship to the next level!
Role Overview
We are seeking a dynamic 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 DaaS solutions, geospatial data products, or enterprise data platforms. You 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
- Collaborate with Account Executives, Product Management, and Engineering throughout the sales cycle.
- Lead technical and value-based discovery to assess client data needs; communicate technical capabilities and articulate the business impact of dataplor’s location intelligence and big data analytics solutions.
- Think creatively, act resourcefully, and move quickly in designing and delivering cloud data platform solutions for prospects.
- Build conceptual and technical frameworks that show how dataplor’s data architecture solves unique customer challenges.
- Deliver presentations and live demonstrations that resonate across audiences — from data scientists and engineers to business decision-makers.
- Identify opportunities to extend use cases beyond initial project scopes through technical discovery and business impact analysis.
- Contribute to internal solution playbooks, technical collateral, and reusable demo environments.
- Apply knowledge of Master Data Management (MDM), geospatial data analysis, and data quality efforts to influence technical evaluations and bring them to closure.
- Maintain a deep understanding of Points of Interest (POI), mobility data, and location-based intelligence.
Required Qualifications
- 2+ years in a pre-sales, sales engineering, solutions architecture, or technical consulting role, ideally in a data or SaaS company.
- Comfortable guiding prospects through best practices in data ingestion, transformation, enrichment, and visualization.
- Strong programming skills in Python.
- Advanced SQL experience, including querying large datasets and performing spatial analytics.
- Excellent communication and storytelling skills — able to align technical solutions with business value and drive deal momentum.
- Demonstrated ability to thrive in fast-paced, cross-functional environments and manage multiple technical sales engagements simultaneously.
Preferred Qualifications
- Extensive experience working with location data, point of interest data, or mobility data
- Experience with geospatial analysis in SQL, Python, and GIS
- Data mastering, deduplication logic, or entity resolution workflows.
Benefits
- Competitive salary and benefits package
- Comprehensive health, dental, and vision insurance
- Unlimited PTO and paid holidays
- Monthly Uber Eats Credit
- Industrious or similar co-working membership
- Semi annual team retreats and ad hoc meetups
- A collaborative and supportive work environment
