Lead Spatial Cloud Solutions
About BigGeo
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.
We're building something that hasn't existed before: a new layer of the internet where the "where" and "when" behind every decision is instantly clear, programmable, and actionable. Our platform removes the complexity that has kept spatial data locked in silos for decades, and replaces it with speed, precision, and control.
We're a Calgary-based company, early and moving fast, with real customers, real infrastructure, and a clear point of view on where the world is going.

Why BigGeo Exits and Why People Build Here
Most companies are spatially blind. They know what their data says, but not where or when things actually happen. That gap costs real money, creates real risk, and limits what AI can actually do in the physical world. BigGeo exists to close that gap. We're not building another tool. We're building the rails that connect the planet's moving data to the systems that run the world. That's a big problem, and it takes people who care about doing things right, not just fast.

People build here because:

The problem is real and the category is open. We're not competing for the middle of an existing market. We're defining a new one. Your work shapes what the category becomes.

Your fingerprints are on the architecture. We're at the stage where the decisions you make today become the foundation tomorrow. What you ship matters.

We run on clarity, not politics. We move with purpose. No bureaucratic drag, just a team that agrees on the mission and gets to work.

You'll grow fast because the problems are hard. Spatial data at scale is a genuinely difficult domain. If you want to be stretched, you'll be stretched.

We're building for longevity. We're not chasing hype cycles. We're building infrastructure, the kind that compounds in value over time and earns the trust of the companies that depend on it.

The Role
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.

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.

Key Responsibilities
Spatial 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.

What You Bring
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 clear technical architectures and implementation plans

Solid 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

How This Role Contributes to the Spatial Cloud
The Spatial Cloud becomes valuable when organizations can use its infrastructure to build systems that operate against real-world data.

The Lead Spatial Cloud Solutions turns BigGeo's platform capabilities into working architectures and production implementations.

By solving complex implementation problems and converting those solutions into reusable technical patterns, you will help establish how organizations build on the Spatial Cloud. Your work will connect spatial datasets, compute, APIs, applications, and AI systems into architectures capable of supporting real-world decisions.

Each successful implementation also improves the platform. The patterns you discover, problems you solve, and feedback you bring to product and engineering will help make Spatial Cloud adoption increasingly repeatable.

Your work helps move spatial data from fragmented, specialist workflows into infrastructure that enterprises, developers, systems, and AI can use directly.

Work Environment and Collaboration
BigGeo operates as a collaborative startup environment 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

You will have significant autonomy over how technical problems are approached and solved. The role requires initiative, sound judgment, comfort working through ambiguity, and the ability to move between customer requirements, system architecture,

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