Company Overview

BigGeo is the Spatial Cloud.

We help companies manage and access the world’s spatial data.

Any size, any slice, any insight.

Delivered in seconds.

BigGeo is defining a new category of infrastructure for how organizations, systems, and AI work with real-world data. Spatial data powers logistics, infrastructure planning, climate intelligence, financial systems, and global mobility, yet most organizations still struggle to manage and access it at scale.

The Spatial Cloud provides a unified architecture where spatial and temporal data can be managed, computed, and delivered instantly across applications and AI systems. Instead of fragmented pipelines and slow analysis workflows, BigGeo turns spatial data into operational infrastructure used directly by modern digital systems.

Why BigGeo

We don’t start by asking why you’d be a good fit for us. We start by being clear about what we’re building and why it matters.

BigGeo is building the Spatial Cloud, a foundational infrastructure for how spatial data is managed, accessed, and used in real time across systems, AI, and organizations.

Joining BigGeo means contributing to technology that is shaping a new category as it takes form. The team BigGeo team is AI-enabled, cross-functional, and highly collaborative. We value ownership, clarity, and leveraging AI tools to build incredible momentum. The work moves quickly, expectations are high, and impact is visible because what we build is used in real-world environments.

At BigGeo, you will:

- Contribute to systems that influence how spatial data is managed and applied
- Leverage cutting edge AI tools so that your work shows up in real, high-impact use cases
- Collaborate with a multidisciplinary team solving complex, meaningful problems
- Work in an environment where autonomy is trusted, results matter, and AI tools are harnessed to boost creativity, output, and results

If you want to do work with real-world impact and help build foundational technology that changes how organizations understand and use spatial intelligence, BigGeo is the place to build that future.

Role Overview

BigGeo is seeking a Lead Spatial Cloud Solutions to design and deliver how organizations build, deploy, and scale solutions on the Spatial Cloud.

This role sits at the intersection of platform architecture, spatial systems, and real-world implementation. You will work directly with enterprise customers, partners, and BigGeo’s product and engineering teams to turn complex spatial requirements into production-ready solutions built on BigGeo infrastructure.

You will lead technical solution design across strategic implementations, helping organizations move from fragmented spatial data and workflows to scalable systems that produce operational intelligence. You will define architectures, build reusable technical patterns, guide implementations, and ensure solutions are designed for performance, reliability, governance, and scale.

This is a high-ownership role for a technical builder who combines deep spatial systems knowledge with platform thinking, strong customer engagement, and the ability to move between architecture and implementation.

What You Will Bring and Own

As Lead Spatial Cloud Solutions, you will own the technical design and delivery of high-impact solutions built on the Spatial Cloud.

You will build and own:

- Spatial Cloud architectures for strategic customer and partner implementations
- Technical solution designs that translate real-world requirements into scalable spatial systems




- Reference architectures and reusable implementation patterns for Spatial Cloud adoption
- Solution blueprints showing how BigGeo integrates with customer data, applications, APIs, and operational systems
- Deployment models for production spatial data and compute workflows
- Technical prototypes and implementations that validate new solution patterns
- Technical guidance across customer and partner implementations
- Feedback loops between real-world implementations and BigGeo’s product and engineering teams

Your work will establish repeatable ways for organizations to build decision-critical systems on the Spatial Cloud.

Core Responsibilities

Spatial Cloud Solution Architecture

- Lead the technical design of Spatial Cloud solutions for enterprise customers and strategic partners
- Translate business and operational requirements into scalable spatial architectures, data flows, and compute patterns
- Design solutions that use BigGeo infrastructure effectively across performance, governance, reliability, and scale
- Evaluate spatial datasets, APIs, integration requirements, and existing customer environments
- Make architecture decisions that balance immediate implementation needs with reusable platform patterns

Solution Implementation

- Take solutions from architecture through technical validation and production implementation
- Build prototypes, integrations, data workflows, and reference implementations where needed
- Work through complex spatial data, indexing, compute, and integration challenges
- Identify implementation risks early and develop practical approaches to resolve them
- Ensure solutions can operate reliably under real-world production conditions

Customer and Partner Engagement

- Work directly with technical teams at enterprise customers to understand requirements and guide Spatial Cloud adoption
- Serve as a trusted technical counterpart during solution design and implementation
- Collaborate with data providers, platform partners, and developers building on BigGeo
- Communicate complex spatial architecture clearly to both technical and non-technical stakeholders
- Help customers understand what becomes possible when spatial data can be managed and accessed through a shared infrastructure layer

Platform Enablement

- Create reusable technical patterns, solution frameworks, and reference architectures
- Document deployment approaches that allow successful implementations to be repeated across customers and industries
- Identify common implementation challenges that should become platform capabilities
- Translate implementation experience into actionable product and engineering feedback
- Help establish technical standards for how production solutions are built on the Spatial Cloud

Cross-Functional Collaboration

- Partner closely with engineering teams building Spatial Cloud infrastructure
- Work with product teams to connect customer requirements with platform capabilities
- Collaborate with sales and partnerships during technically complex strategic opportunities
- Contribute spatial systems expertise to product and architecture discussions
- Use AI-assisted tools to accelerate research, analysis, modeling, documentation,



prototyping, and solution design

Technology and Tools The Lead Spatial Cloud Solutions will work across modern spatial, cloud, data, and AI environments.

Relevant technologies may include

- Cloud platforms and distributed infrastructure
- Geospatial frameworks and spatial databases
- Spatial and temporal datasets
- APIs and developer platforms
- Real-time spatial compute environments
- Data pipelines, transformation systems, and spatial indexing
- Cloud-native application architectures
- AI and machine learning systems using spatial data
- Development and prototyping environments
- Monitoring, debugging, and production reliability tooling

Operational tools include Slack, Google Workspace, and Monday, with strong use of modern AI tools to improve research, technical analysis, development, documentation, and decision-making.

Required Experience

- 7+ years of experience in geospatial systems, spatial platforms, location intelligence, data infrastructure, or related technical environments
- Strong experience designing and delivering production spatial solutions
- Deep understanding of spatial data systems, geospatial compute, spatial indexing, and data pipelines
- Experience designing integrations across APIs, cloud infrastructure, data platforms, and operational systems
- Experience working directly with enterprise customers, technical partners, or complex internal stakeholders
- Ability to translate ambiguous real-world requirements into explicit technical architectures and implementation plans
- Strong technical communication skills across engineering, product, customer, and business audiences
- Experience taking technical solutions from initial problem definition through deployment
- Ability to operate with autonomy and make sound technical decisions in a high-ownership startup environment
- Practical experience using modern AI systems to improve technical productivity, analysis, development, or solution design

Preferred Experience

- Experience with cloud-native spatial platforms or large-scale geospatial data infrastructure
- Background in GIS, spatial analytics, spatial databases, or location intelligence systems
- Experience with distributed systems or high-performance data platforms
- Experience designing developer-facing APIs, SDKs, or platform integrations
- Experience supporting developer ecosystems or technical platform adoption
- Experience working with industries such as logistics, infrastructure, energy, government, mobility, or AI
- Familiarity with AI systems that consume or reason over spatial and temporal data
- Experience building reusable solution frameworks, reference architectures, or technical accelerators
- Experience working with large, complex, or real-time spatial datasets

Work Environment and Collaboration

BigGeo operates as a collaborative startup workplace where teams work closely across engineering, product, data, and customer-facing disciplines.

The Lead Spatial Cloud Solutions will collaborate with:

- Engineering teams building Spatial Cloud infrastructure
- Product leaders defining platform capabilities
- Enterprise customers deploying spatial systems
- Data providers and technology partners participating in the spatial ecosystem
- Sales and partnership teams supporting strategic opportunities

This role is ideal for someone who enjoys designing complex systems, solving difficult spatial problems, working directly with builders and customers, and turning new infrastructure into capabilities that work in the real world.

📌 Lead Spatial Cloud Solutions (Calgary)
🏢 BigGeo
📍 Calgary