Job Description Our organization is undertaking a large scale digital transformation initiative across all refinery sites. As part of this effort, we are performing comprehensive laser scans to capture highly detailed 3D representations of our facilities. These scans generate millions of data points and dimensions, forming the foundation of our enterprise wide digital twin. To support this work, we are seeking specialists experienced in managing and processing point cloud data within cloud environments such as Azure. The role will focus on ensuring the quality and accuracy of vendor provided scan data (QA/QC), standardizing metadata, and helping define and build an internal cloud based storage architecture for long term management of these large datasets. A key responsibility will be publishing and maintaining this data within our digital twin viewing platforms, ensuring engineering and operations teams can easily access, navigate, and use the models. Traditionally, laser scanning vendors perform the scans, prepare the point cloud deliverables, and pass them to CAD teams for design and engineering workflows. This role will help us streamline, integrate, and eventually automate how these datasets move through our internal ecosystem, from vendor delivery to CAD integration to enterprise visualization. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Core Technical Experience • 5+ years working with large 3D datasets (point clouds, CAD models, UAV data). • Hands on experience with common point cloud formats such as E57, LAS, etc. • Working knowledge of AutoCAD and foundational 3D model handling (Navisworks, Plant 3D, Revit, or similar). • Strong understanding of laser scanning QA concepts (registration error, control, noise filtering). Data & Storage Management • Experience managing large datasets in structured storage environments (cloud or on prem). • Ability to support the creation & maintenance of an enterprise 3D scan storage hierarchy, metadata standards, and dataset normalization. • Experience maintaining as built 3D scan datasets, including validation, publishing, updates, versioning, and archival. • Reality Capture Workflow Support • Experience with data quality control, point cloud cleanup/optimization, and ongoing metadata validation. • Ability to coordinate 3D data transfers between vendors, EPCs, and internal systems. • Can integrate external 3D CAD models into enterprise systems and support ingestion workflows. Cross Platform Visualization • Ability to support integration across 2D & 3D platforms, including CAD, point cloud, and GIS/ArcGIS based viewers. Collaboration & Stakeholder Support • Comfortable working with vendors, EPCs, and internal teams. • Ability to collaborate internally to improve data accessibility, navigability, and usability for engineering/operations teams Automation Exposure • Basic scripting/automation exposure (Python, PowerShell, FME or similar Industry Knowledge • Experience with industrial or infrastructure data (oil & gas, refining, power, utilities, manufacturing). 3D Viewers & Visualization Tools • Familiarity with common 3D viewers such as: o Cintoo o NavVis IVION o Leica TruView o Bentley o Autodesk Construction Cloud