Spatial Cloud Solutions Architect

BigGeo is the Spatial Cloud.

We help companies manage and access the worlds spatial data.

Any size any slice any insight.

Delivered in seconds.

Were building something that hasnt 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.

Were 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.

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.

Were not building another tool. Were building the rails that connect the planets moving data to the systems that run the world. Thats a big problem and it takes people who care about doing things right not just fast.

• The problem is real and the category is open. Were not competing for the middle of an existing market were defining a new one. Your work shapes what the category becomes.
• Your fingerprints are on the architecture. Were 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 no HiPPO decisions just a team that agrees on the mission and gets to work.
• Youll grow fast because the problems are hard. Spatial data at scale is a genuinely difficult domain. If you want to be stretched youll be stretched.
• Were building for longevity. Were not chasing hype cycles. Were building infrastructure the kind that compounds in value over time and earns the trust of the companies that depend on it.

BigGeo is hiring a Spatial Cloud Solutions Architect to help enterprises partners and developers design real systems on top of the Spatial Cloud. This role sits at the intersection of platform architecture and real-world implementation. You turn complex spatial data challenges into scalable production-grade solutions that organizations can run their business on.

Youll work directly with customer engineering teams enterprise architects developer partners and our internal product and engineering groups. Youll help organizations move from fragmented spatial workflows manual GIS stacks point-to-point pipelines batch reporting to unified spatial intelligence systems that power operations analytics and AI-driven decision-making in real time.

This is a role for engineers and spatial systems practitioners who like building real things with real customers. Youll shape how the Spatial Cloud is adopted in the field and that field feedback loop will directly influence what we build next.

• Design Spatial Cloud architectures that integrate spatial datasets compute systems and downstream applications.
• Translate customer and partner requirements into scalable maintainable spatial system designs.
• Develop architecture patterns that hold up under real performance reliability and governance demands.
• Produce architecture diagrams design documents and decision records that engineering teams can execute against.

• Work directly with enterprise customers implementing spatial intelligence systems on the Spatial Cloud.
• Support developers and partners building products on BigGeo infrastructure from initial design through production launch.
• Provide technical guidance during onboarding implementation scaling and ongoing optimization.
• Run technical deep-dives workshops and design sessions with customer architects and engineering leaders.

• Design APIs data pipelines and integration workflows that connect spatial data to operational systems.
• Ensure solutions use BigGeo infrastructure to deliver high-performance spatial queries and real-time insight.
• Partner with BigGeo engineering teams to improve platform capabilities based on what you see in the field.

• Write solution documentation technical guides and reference implementations that customers and partners can actually use.
• Build reusable solution patterns that accelerate Spatial Cloud adoption across industries and use cases.
• Create and maintain sample apps starter kits and code examples that shorten time-to-first-value.

• Work with product teams to translate implementation feedback into platform improvements.
• Support go-to-market teams with technical insight for enterprise engagements technical evaluations and partner conversations.
• Collaborate with engineering to ensure production reliability of customer deployments.

• 5 years of experience working with geospatial systems spatial data platforms or location intelligence infrastructure.
• Bachelors degree in Computer Science Geography or a related field.
• Proven experience designing and deploying spatial data pipelines or geospatial applications in production.
• Strong working knowledge of cloud infrastructure (AWS GCP or Azure) APIs and distributed systems.
• Experience integrating spatial data with enterprise applications analytics platforms or AI systems.
• Strong technical communication skills able to guide both customer engineers and internal teams through complex design decisions.
• Comfort operating in a startup environment: high ownership tight cross-functional collaboration fast iteration.

• Hands-on experience with GIS platforms geospatial compute engines or spatial databases (PostGIS BigQuery GIS Snowflake spatial Esri H3 S2 or similar).
• Experience designing real-time or high-performance spatial data systems including streaming spatial pipelines or low-latency spatial query layers.
• Familiarity with developer ecosystems and API-driven platforms: SDK design developer experience API versioning and documentation.
• Experience supporting enterprise implementations of data platforms including security governance and compliance considerations.
• Domain experience in logistics infrastructure urban systems energy telecommunications financial services or climate/earth observation.
• Experience building with AI or machine learning systems that incorporate spatial data including retrieval pipelines spatial context for LLMs or spatially aware agents.

First 30 days:

Full onboarding to the Spatial Cloud platform internal architecture and active customer implementations. Shadow active customer engagements and meet the product engineering and go-to-market leads youll work with most. Produce a first internal architecture review or design write-up that demonstrates command of the platform.

First 60 days:

Own the solution design for at least one active customer or partner implementation. Publish at least one reusable reference architecture solution blueprint or integration pattern adopted internally. Establish a recurring feedback loop with product and engineering based on field observations.