dataplor hiring Solutions Engineer – Data-as-a-Service (DaaS) & Geospatial Data (NYC based prefe • Remote (Work from Home) | Himalayas
dataplorDA

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

Dataplor is a global location intelligence provider, offering accurate and dynamically updated Point of Interest (POI) data for businesses to make informed decisions and identify growth opportunities worldwide.

dataplor

Employee count: 51-200

United States only

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. A NYC-based engineer is preferred. 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

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United States +/- 0 hours

About dataplor

Learn more about dataplor and their company culture.

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We are dataplor, and we're driven by the mission to illuminate global market opportunities. We recognized early on that the global location data landscape was fraught with challenges – data was not only difficult to access but also plagued by inaccuracies. This reality created significant blind spots for businesses, often forcing them to take speculative risks when expanding into new territories. Our core objective is to bridge these critical information gaps. We provide businesses with reliable, comprehensive location intelligence for virtually every public and commercial location worldwide, covering over 250 countries and territories. We aim to make the world feel a little less vast by bringing previously overlooked markets into sharp focus, enabling companies to identify untapped potential and foster stronger connections within the global business community.

Our approach is built on a unique synergy of advanced technology and human expertise. We leverage cutting-edge technologies like artificial intelligence, machine learning, and large language models to gather, process, and analyze vast amounts of geospatial data. This includes everything from geographically tagged information and online feedback to consumer behaviors for every location, brand, or region. However, we understand that technology alone isn't enough to guarantee the accuracy needed for critical business decisions. That's why we also employ a global network of over 100,000 human validators and an in-house international team of data analysts. These experts possess native language proficiency and local expertise, conducting rigorous human reviews, error detection, and deduplication. This meticulous, multi-layered process ensures our datasets are not only comprehensive and dynamically updated in near real-time but also exceptionally accurate. We're passionate about empowering businesses to make data-driven decisions with confidence, whether it's for strengthening investment strategies, reaching new audiences, optimizing site selection, or understanding competitive landscapes. We're committed to privacy-first principles, ensuring no personally identifiable information (PII) is collected or used, adhering to stringent privacy laws like GDPR.

Employee benefits

Learn about the employee benefits and perks provided at dataplor.

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Paid holidays

Employees receive paid holidays.

Unlimited PTO

Dataplor provides unlimited paid time off.

Monthly Uber Eats credit

A monthly credit for Uber Eats is provided.

Co-working membership

Dataplor offers a co-working space membership.

View dataplor's employee benefits
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dataplor

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