Lead Spatial Cloud Solutions

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 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. 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 implementationsTechnical solution designs that translate real-world requirements into scalable spatial systemsReference architectures and reusable implementation patterns for Spatial Cloud adoptionSolution blueprints showing how BigGeo integrates with customer data, applications, APIs, and operational systemsDeployment models for production spatial data and compute workflowsTechnical prototypes and implementations that validate new solution patternsTechnical guidance across customer and partner implementationsFeedback loops between real-world implementations and BigGeo’s product and engineering teamsYour 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 partnersTranslate business and operational requirements into scalable spatial architectures, data flows, and compute patternsDesign solutions that use BigGeo infrastructure effectively across performance, governance, reliability, and scaleEvaluate spatial datasets, APIs, integration requirements, and existing customer environmentsMake architecture decisions that balance immediate implementation needs with reusable platform patternsSolution Implementation
Take solutions from architecture through technical validation and production implementationBuild prototypes, integrations, data workflows, and reference implementations where neededWork through complex spatial data, indexing, compute, and integration challengesIdentify implementation risks early and develop practical approaches to resolve themEnsure solutions can operate reliably under real-world production conditionsCustomer and Partner Engagement
Work directly with technical teams at enterprise customers to understand requirements and guide Spatial Cloud adoptionServe as a trusted technical counterpart during solution design and implementationCollaborate with data providers, platform partners, and developers building on BigGeoCommunicate complex spatial architecture clearly to both technical and non-technical stakeholdersHelp customers understand what becomes possible when spatial data can be managed and accessed through a shared infrastructure layerPlatform Enablement
Create reusable technical patterns, solution frameworks, and reference architecturesDocument deployment approaches that allow successful implementations to be repeated across customers and industriesIdentify common implementation challenges that should become platform capabilitiesTranslate implementation experience into actionable product and engineering feedbackHelp establish technical standards for how production solutions are built on the Spatial CloudCross-Functional Collaboration
Partner closely with engineering teams building Spatial Cloud infrastructureWork with product teams to connect customer requirements with platform capabilitiesCollaborate with sales and partnerships during technically complex strategic opportunitiesContribute spatial systems expertise to product and architecture discussionsUse AI-assisted tools to accelerate research, analysis, modeling, documentation, prototyping, and solution designTechnology 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 infrastructureGeospatial frameworks and spatial databasesSpatial and temporal datasetsAPIs and developer platformsReal-time spatial compute environmentsData pipelines, transformation systems, and spatial indexingCloud-native application architecturesAI and machine learning systems using spatial dataDevelopment and prototyping environmentsMonitoring, debugging, and production reliability toolingOperational 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 Experience7+ years of experience in geospatial systems, spatial platforms, location intelligence, data infrastructure, or related technical environmentsStrong experience designing and delivering production spatial solutionsDeep understanding of spatial data systems, geospatial compute, spatial indexing, and data pipelinesExperience designing integrations across APIs, cloud infrastructure, data platforms, and operational systemsExperience working directly with enterprise customers, technical partners, or complex internal stakeholdersAbility to translate ambiguous real-world requirements into clear technical architectures and implementation plansStrong technical communication skills across engineering, product, customer, and business audiencesExperience taking technical solutions from initial problem definition through deploymentAbility to operate with autonomy and make sound technical decisions in a high-ownership startup environmentPractical experience using modern AI systems to improve technical productivity, analysis, development, or solution designPreferred ExperienceExperience with cloud-native spatial platforms or large-scale geospatial data infrastructureBackground in GIS, spatial analytics, spatial databases, or location intelligence systemsExperience with distributed systems or high-performance data platformsExperience designing developer-facing APIs, SDKs, or platform integrationsExperience supporting developer ecosystems or technical platform adoptionExperience working with industries such as logistics, infrastructure, energy, government, mobility, or AIFamiliarity with AI systems that consume or reason over spatial and temporal dataExperience building reusable solution frameworks, reference architectures, or technical acceleratorsExperience working with large, complex, or real-time spatial datasetsHow 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 Big
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