Arcadian Infracom Inc

Role Description The GIS Project and Data Engineer serves as the tactical anchor for the project lifecycle, ensuring seamless communication between field operations and GIS systems. This role combines hands-on technical management of As-Built drawings and CAD files with the organizational discipline required to track deliverables and maintain company standards. The ideal candidate is a detail-oriented professional capable of navigating the bridge between engineering design and geospatial data integrity. Qualifications - Associate’s or bachelor’s degree in GIS, Geography, Project Management, or a related technical field required. - 1–3 years of experience in a GIS, engineering, or technical project support role required. - Minimum 2+ years of AutoCAD experience (Civil 3D focus) and functional proficiency in ArcGIS Pro data editing required. - Knowledge of outside plant (OSP) telecommunications engineering and construction processes preferred. - Strong technical writing skills and the ability to convey complex geospatial concepts to diverse audiences preferred. - Capable of working autonomously in a remote environment while maintaining a preferred, collaborative, customer-focused attitude. - Familiarity with office and field observer safety requirements. - Hands-on experience with ESRI geodatabases, spatial data editing, and mapping workflows. - Familiarity with telecom-specific inventory tools, industry standards, and databases. - Proficiency in AutoCAD app development and workflow automation. - Exposure to project management platforms such as Smartsheet, MS Project, or Asana. Requirements - AUDIT AutoCAD files for technical compliance and execute the precise translation of data between CAD and ESRI environments. - Apply a strong understanding of projections and coordinate systems to ensure all data aligns with Arcadian internal geodatabases. - Act as the primary intake for field vendor data, reviewing submissions for spatial integrity and attribute completeness before importing records. - Coordinate and package complex GIS deliverables for external stakeholders including Caltrans, CDT, and Hyperscalers. - Act as the point of contact for routine project status, ensuring engineering teams, inspectors, and contractors are aligned on milestones. - Facilitate internal and external project calls by documenting action items and distributing project summaries. - Make sound, timely decisions regarding data workflows and involve appropriate stakeholders to maintain high standards of quality. - Develop and maintain technical documentation, standard process guides, and reference materials for evolving GIS and CAD workflows. - Perform routine attribute edits and quality checks to proactively flag and resolve data inconsistencies. - Ensure all engineering and design activities adhere to company policies, contract requirements, and safety standards.

Role Description This role is responsible for designing, building, and maintaining the data infrastructure and analytics capabilities that support supply chain and operational decision-making. The position combines hands-on data engineering, business intelligence, and system support responsibilities to ensure data is accurate, accessible, and actionable across enterprise platforms. The individual will work across systems such as ERP, project management platforms, and reporting tools to develop scalable data pipelines, dashboards, and integrations. This role bridges the gap between technical development and business operations by translating operational needs into reliable data solutions and insights. - Design, build, and maintain data pipelines and integrations across enterprise systems (ERP, project management tools, and other operational platforms). - Develop and manage data models that support reporting, analytics, and operational workflows. - Own and enhance reporting environments, including dashboards, KPIs, and self-service analytics tools (e.g., Power BI). - Ensure data accuracy, integrity, and consistency across systems through validation, monitoring, and governance practices. - Partner with Supply Chain, Finance, IT, and Operations teams to translate business requirements into scalable data and reporting solutions. - Support and optimize existing data infrastructure, including queries, transformations, and refresh processes. - Analyze operational and supply chain data to identify trends, inefficiencies, risks, and cost-saving opportunities. - Assist in the design and implementation of system workflows and integrations to improve end-to-end process efficiency. - Maintain documentation for data models, pipelines, and reporting logic to ensure transparency and auditability. - Serve as a key resource for troubleshooting data issues, reporting discrepancies, and system-related questions. - Contribute to data governance efforts, including master data management, standardization, and change control processes. - Support ad hoc data requests, analysis, and reporting needs from internal stakeholders. - Other duties as assigned. Qualifications - Bachelor’s degree in information systems, Data Analytics, Computer Science, Business, or a related field required. - 3–7 years of experience in data engineering, business intelligence, analytics, or a related role required. - Experience building and maintaining data pipelines and transformations (e.g., SQL, Power Query, Python, or similar tools) required. - Strong proficiency in data visualization and reporting tools (e.g., Power BI, Tableau). - Experience working with ERP or operational systems (NetSuite, Salesforce, SAP, Oracle, or similar). - Solid understanding of data modeling concepts and relational databases. - Strong analytical and problem-solving skills with attention to detail. - Ability to translate business requirements into technical solutions and actionable insights. - Experience working in cross-functional environments with both technical and non-technical stakeholders. - Familiarity with data governance, data quality, and validation best practices preferred.