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Lever

Solutions Engineer – Data-as-a-Service (DaaS) & Geospatial Data
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United States

Engineering /

Remote

[Apply for this job](https://jobs.lever.co/dataplor/4de9f5d4-9672-4e66-8167-4d47456d2434/apply)

**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

[Apply for this job](https://jobs.lever.co/dataplor/4de9f5d4-9672-4e66-8167-4d47456d2434/apply)