Geospatial & BIM Information Specialist
- Location
- Toronto, CA
- Work type
- Full Time
- Posted
- 2026-07-20
Job description
Your impact
Information Review & Quality Assurance
Review incoming BIM, survey, and geospatial data submissions
Verify compliance with project BIM standards, naming conventions, and information requirements
Perform quality assurance checks on models, drawings, point clouds, and associated metadata
Identify data quality issues and coordinate resolution with project teams
Document information quality findings and maintain review records
Geospatial & Survey Coordination
Verify project coordinate systems and georeferencing requirements
Assess survey deliverables for completeness and suitability
Support the development of survey requirements and deliverable specifications
Review existing conditions information for consistency and accuracy
Coordinate with survey providers and project teams to resolve spatial data issues
Point Cloud Management
Review and validate point cloud datasets
Assess registration quality and coordinate alignment
Support workflows involving reality capture, laser scanning, and scan-to-model processes
Assist project teams with integrating point cloud data into design and BIM environments
Governance & Continuous Improvement
Develop and maintain information review procedures
Identify opportunities for automation and data validation workflows
Support BIM governance initiatives and information management best practices
The skills that set you apart
Experience
Diploma or degree in Geomatics, Geospatial Sciences, Surveying, Civil Engineering or Related discipline
5+ years of experience in BIM, geomatics, surveying, civil infrastructure, or digital delivery
Experience working with large infrastructure projects
Experience reviewing and managing engineering and survey datasets
Familiarity with BIM standards and information management processes
Technical Skills
Required
Advanced proficiency in Autodesk Civil 3D
Strong understanding of:
Coordinate systems
Survey control networks
Georeferencing principles
Existing conditions data
Reality capture workflows
Experience reviewing and validating survey data.
Experience working with point clouds
Familiarity with Common Data Environments (Forma/ProjectWise)
Strong understanding of data quality assurance and quality control processes