Engineering Data Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Evaluate engineering data sources, definitions, ownership, workflows, quality challenges, dependencies, and integration deficiencies

• Define the desired state of engineering data architecture, governance framework, and a phased implementation plan

• Create standardized models, taxonomies, metadata, lineage, stewardship, access protocols, lifecycle management, and quality benchmarks

• Design and execute data models, ETL/ELT pipelines, integrations, semantic frameworks, dashboards, and quality assurance tools

• Provide solutions utilizing SQL, Python, Azure, Databricks, Power BI, and other relevant technologies

• Integrate Revit, Autodesk Construction Cloud, Autodesk Forma, Autodesk Platform Services, along with other engineering or business systems

• Collaborate across engineering and Digital Engineering departments to develop reusable data assets for analytics, automation, AI, and reporting

• Manage data protection requirements, document decisions, evaluate platforms, and communicate priorities, risks, and results

• Generate a documented current-state assessment, target architecture, and phased implementation roadmap

• Establish uniform engineering data definitions, standards, ownership, lineage, and quality practices

• Enhance data accessibility and deliver reliable products that support engineering analytics, automation, and AI

⛳️ Requirements

• Bachelor’s degree in computer science, data engineering, information systems, engineering, or a related discipline, or equivalent experience

• Seven or more years of pertinent experience in data architecture, data engineering, analytics, or data governance

• Proven experience in delivering enterprise-scale data solutions and contemporary cloud analytical frameworks

• Proficient skills in SQL, data modeling, integration, and ETL/ELT processes

• Practical experience with data pipelines and data quality management

• Understanding of governance, metadata, lineage, stewardship, access, and lifecycle management principles

• Capability to translate architectural strategy into actionable solutions and a feasible roadmap

• Strong analytical, facilitation, stakeholder management, and communication abilities

• Experience with Azure data services, Databricks, lakehouse architecture, Microsoft Fabric, Power BI, and Python is preferred

• Familiarity with the AEC industry and knowledge of Revit, BIM, Autodesk Construction Cloud, Autodesk Forma, Autodesk Platform Services, or the AEC Data Model is preferred

• Experience integrating data with C#/.NET applications or working alongside C#/.NET development teams is preferred

• Familiarity with metadata catalogs, observability, event-driven integrations, APIs, and data architecture for AI or machine learning is preferred

• Must be based in the United States

🏝️ Benefits

• Performance-based bonuses

• Equity participation

• Medical insurance

• Dental insurance

• Vision insurance

• 401(k) with company match

• Paid time off

• Company holidays

• Wellness programs

• Employee assistance resources

• Support for professional development