Engineering Data Architect

Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for clients. The Engineering Data Architect establishes the data foundation for engineering technology, project delivery, analytics, automation, and AI, assessing the current environment and delivering practical data models and solutions.

Responsibilities:

• Assess engineering data sources, definitions, ownership, workflows, quality issues, dependencies, and integration gaps
• Define the target-state engineering data architecture, governance framework, and phased implementation roadmap
• Establish common models, taxonomies, metadata, lineage, stewardship, access, lifecycle, and quality standards
• Design and implement data models, ETL/ELT pipelines, integrations, semantic models, dashboards, and quality tools
• Deliver solutions using SQL, Python, Azure, Databricks, Power BI, and related technologies
• Integrate Revit, Autodesk Construction Cloud, Autodesk Forma, Autodesk Platform Services, and other engineering or business systems
• Partner across engineering and Digital Engineering to create reusable data assets for analytics, automation, AI, and reporting
• Coordinate data protection requirements, document decisions, evaluate platforms, and communicate priorities, risks, and outcomes

Requirements:

• Bachelor's degree in computer science, data engineering, information systems, engineering, or a related field, or equivalent experience
• Seven or more years of relevant experience across data architecture, data engineering, analytics, or data governance
• Experience delivering enterprise-scale data solutions and modern cloud analytical architectures
• Strong SQL, data-modeling, integration, and ETL/ELT skills, with hands-on pipeline and data-quality experience
• Knowledge of governance, metadata, lineage, stewardship, access, and lifecycle management
• Ability to convert architectural strategy into practical solutions and a realistic roadmap
• Strong analytical, facilitation, stakeholder-management, and communication skills
• Experience with Azure data services, Databricks, lakehouse architecture, Microsoft Fabric, Power BI, and Python
• AEC industry experience and familiarity with Revit, BIM, Autodesk Construction Cloud, Autodesk Forma, Autodesk Platform Services, or the AEC Data Model
• Experience integrating data with C#/.NET applications or collaborating with C#/.NET development teams
• Experience with metadata catalogs, observability, event-driven integrations, APIs, and data architecture for AI or machine learning