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Spatial Cloud Solutions Architect

Job in Calgary, Alberta, D3J, Canada
Listing for: RGIT Australia
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CAD Yearly CAD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 Big Geo Exists 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.

Big Geo 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, no HiPPO decisions, 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

Big Geo 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.

You’ll work directly with customer engineering teams, enterprise architects, developer partners, and our internal product and engineering groups. You’ll 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. You’ll shape how the Spatial Cloud is adopted in the field, and that field feedback loop will directly influence what we build next.

Key Responsibilities
  • 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.
Customer and Partner Engagement
  • Work directly with enterprise customers implementing spatial intelligence systems on the Spatial Cloud.
  • Support developers and partners building products on Big Geo 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.
Platform Integration
  • Design APIs, data pipelines, and integration workflows that connect spatial data to operational systems.
  • Ensure solutions use Big Geo infrastructure to deliver high‑performance spatial queries and real‑time insight.
  • Partner with Big Geo engineering teams to improve platform…
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