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

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

United States

Engineering /

Remote

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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

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