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

dataPlor; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Solutions Engineer to drive revenue growth through data-driven solutions. This role involves collaborating with various teams to address complex business challenges and requires expertise in DaaS solutions and geospatial data products. The ideal candidate will have strong programming skills in Python and advanced SQL experience, along with excellent communication abilities. Benefits include competitive salary, unlimited PTO, and a supportive work environment.

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

Collaborative and supportive work environment

Qualifications

• 2+ years in pre-sales, sales engineering, or technical consulting.
• Strong programming skills in Python and advanced SQL experience.

Responsibilities

• Collaborate with teams throughout the sales cycle.
• Deliver presentations and live demonstrations.
• Maintain a deep understanding of location-based intelligence.

Skills

Python

SQL

Communication

Job description

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