Job description

Engineering Data Architect Salas O’Brien | Digital Engineering Reports To: Digital Engineering Team Lead Location: Remote (United States) Travel: Occasional About Salas O’Brien Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team members, and the world. Job Summary The Engineering Data Architect establishes the data foundation for engineering technology, project delivery, analytics, automation, and AI. This hands-on role assesses the current environment, defines the target architecture and governance framework, and delivers practical data models, pipelines, integrations, analytics, and quality solutions. What Success Looks Like • A documented current-state assessment, target architecture, and phased implementation roadmap. • Consistent engineering data definitions, standards, ownership, lineage, and quality practices. • Improved data accessibility and trusted products supporting engineering analytics, automation, and AI. 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. Qualifications & Experience Required • 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. Preferred • 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. Working Conditions This is a remote position available to candidates located within the United States. Occasional travel to Salas O’Brien offices, team meetings, and company events is required. Compensation & Benefits The expected base salary range for this role is $110,000–$140,000 USD per year . Actual compensation will be determined based on a number of factors including skills, experience, qualifications, and location. This role is also eligible for performance-based bonuses, equity participation, and a comprehensive U.S.-based benefits package, including: • Medical, dental, and vision insurance • 401(k) with company match • Paid time off and company holidays • Wellness programs and employee assistance resources • Professional development support Equal Opportunity Employment Statement Salas O’Brien provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state/provincial, or local laws. Salas O’Brien will accommodate the disability-related needs of applicants as required by law. Third-Party Agency Notice Salas O’Brien does not accept unsolicited resumes from external recruiters or agencies. We only work with approved partners engaged directly by our Talent Acquisition team for specific searches. Unsolicited submissions will not be eligible for placement fees.

Requirements

Must-haves

Engineering Data Architect
Salas O’Brien | Digital Engineering
Reports To: Digital Engineering Team Lead
Location: Remote (United States)
Travel: Occasional
About Salas O’Brien
Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team members, and the world.
What Success Looks Like
A documented current-state assessment, target architecture, and phased implementation roadmap.
Consistent engineering data definitions, standards, ownership, lineage, and quality practices.
Improved data accessibility and trusted products supporting engineering analytics, automation, and AI.
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.

Nice-to-haves

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.
Working Conditions

Application prep

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Keywords to mirror

aiaccessibilitysqlpythonazuremachine learning

Platform: ukg
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Wellness

Professional Development