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Lead Spatial Cloud Solutions

BigGeo
Calgary, CAN
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Spatial Cloud architectureGeospatial systemsSpatial data systemsGeospatial computeSpatial indexingData pipelines
Free

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Spatial Cloud architectureGeospatial systemsSpatial data systems
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Company Overview

BigGeo is building the Spatial Cloud, infrastructure for managing, computing, and delivering spatial and temporal data across applications and AI systems.

The company works on technology supporting logistics, infrastructure planning, climate intelligence, financial systems, and global mobility.

Role Overview

The Lead Spatial Cloud Solutions role designs and delivers how organizations build, deploy, and scale solutions on the Spatial Cloud.

The role combines platform architecture, spatial systems, real-world implementation, and direct engagement with enterprise customers and partners.

The position owns technical solution design and delivery for high-impact solutions built on BigGeo infrastructure.

Solutions and Architecture

  • Lead technical design for enterprise and strategic partner Spatial Cloud solutions.
  • Translate operational requirements into scalable spatial architectures, data flows, and compute patterns.
  • Build reference architectures, reusable implementation patterns, solution blueprints, and production deployment models.
  • Evaluate datasets, APIs, integrations, and customer environments while balancing immediate needs with reusable platform patterns.

Implementation and Engagement

  • Take solutions from architecture through validation and production implementation.
  • Build prototypes, integrations, data workflows, and reference implementations as needed.
  • Work with enterprise technical teams, data providers, platform partners, and developers building on BigGeo.
  • Communicate complex spatial architecture to technical and non-technical stakeholders.

Platform Enablement

  • Create reusable solution frameworks and document deployment approaches for repeatable implementation.
  • Identify common implementation challenges that should become platform capabilities.
  • Provide feedback to product and engineering teams and help establish technical standards for production solutions.

Collaboration

  • Partner with engineering and product teams on infrastructure and platform capabilities.
  • Collaborate with sales and partnerships during technically complex strategic opportunities.
  • Use AI-assisted tools for research, analysis, development, documentation, prototyping, and solution design.

Technology and Tools

  • The role spans cloud platforms, distributed infrastructure, geospatial frameworks, spatial databases, spatial and temporal datasets, APIs, and developer platforms.
  • Relevant environments include real-time spatial compute, data pipelines, transformation systems, spatial indexing, cloud-native applications, and AI or machine learning systems.
  • Operational tools include Slack, Google Workspace, Monday, and modern AI tools.

Required Experience

  • 7+ years in geospatial systems, spatial platforms, location intelligence, data infrastructure, or related technical environments.
  • Required experience includes production spatial solutions, spatial data systems, geospatial compute, spatial indexing, data pipelines, and integrations.
  • Candidates must translate ambiguous requirements into architectures, communicate across audiences, deliver through deployment, and operate autonomously.
  • Practical use of modern AI systems for technical productivity, analysis, development, or solution design is required.

Preferred Experience

  • Preferred backgrounds include cloud-native spatial platforms, GIS, spatial analytics, spatial databases, distributed systems, and high-performance data platforms.
  • Additional preferred experience includes developer-facing APIs or SDKs, platform adoption, reusable solution frameworks, and large or real-time spatial datasets.
  • Relevant industries include logistics, infrastructure, energy, government, mobility, and AI.

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