Spatial Data Specialist

OverviewWe are seeking an experienced Spatial Sata Specialist with a strong background in 3D laser scanning, point cloud data, and large-scale data management to support an enterprise-wide Digital Twin and Reality Capture initiative. This role supports 15 industrial refinery sites and focuses on managing, validating, organizing, and integrating massive volumes of 3D scan and CAD data into a centralized enterprise environment.Responsibilities3D Reality Capture & Data Management: Support development and implementation of an enterprise 3D scan storage hierarchy and metadata schema in AzureApply and normalize metadata across existing and incoming datasetsManage as-built 3D scan datasets including vendor validation, publishing, versioning, and archivalPerform quality control (QC) on point cloud datasets, including cleanup and optimizationCoordinate data transfers between scan vendors, EPCs, and internal teamsIntegrate external 3D CAD models and support automation of ingestion workflowsSupport conversion of scan data for engineering and operational useSupport integration across CAD, point cloud, and GIS platformsImprove data accessibility and usability for engineering and operations usersAssist with managing very large datasets exceeding 100+ terabytesRequired Qualifications5+ years working with large 3D datasets (point clouds, CAD, UAV data)Experience with point cloud formats such as E57 and LASWorking knowledge of AutoCAD and 3D tools (Navisworks, Plant 3D, Revit, or similar)Understanding of laser scanning QA conceptsExperience managing large datasets in structured storage environmentsComfortable working with vendors and internal stakeholdersExposure to basic scripting or automation (Python, PowerShell, FME)Preferred QualificationsIndustrial or infrastructure experience (oil & gas, refining, utilities, manufacturing)Familiarity with 3D viewers (Cintoo, NavVis IVION, Leica TruView, Bentley, Autodesk Construction Cloud)Exposure to Cognite Data Fusion or similar platformsWhy JoinLong-term, stable role with growth potentialExposure to large-scale, enterprise data initiativesJ-18808-Ljbffr