Engineering Data Architect (Azure)

TL;DR

Engineering Data Architect (Azure): Establishing the data foundation for engineering technology, project delivery, analytics, automation, and AI with an accent on data architecture, governance, and modern cloud analytical platforms. Focus on designing practical data models and pipelines, integrating engineering systems, and improving data quality, accessibility, and lineage across enterprise-scale solutions.

Location: Remote within the United States; occasional travel to hirify.global offices, team meetings, and company events is required.

Salary: $110,000–$160,000 USD per year, plus performance-based bonuses, equity participation, and benefits.

Company

hirify.global is an employee-owned engineering and professional services firm focused on delivering impact for clients, employees, and the wider world.

What you will do

• Assess engineering data sources, workflows, ownership, quality issues, dependencies, and integration gaps.
• Define target-state data architecture, governance frameworks, common models, taxonomies, metadata, lineage, stewardship, and lifecycle standards.
• Design and implement data models, ETL/ELT pipelines, integrations, semantic models, dashboards, and data-quality solutions.
• Deliver solutions with 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 with engineering and Digital Engineering stakeholders to create reusable data assets for analytics, automation, AI, and reporting.

Requirements

• Bachelor’s degree in computer science, data engineering, information systems, engineering, or a related field, or equivalent experience.
• At least seven years of 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, ETL/ELT, pipeline, and data-quality skills.
• Knowledge of governance, metadata, lineage, stewardship, access, and lifecycle management.
• Strong analytical, facilitation, stakeholder-management, communication, and roadmap-planning skills.

Nice to have

• 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 with C#/.NET integrations, metadata catalogs, observability, event-driven integrations, APIs, or data architecture for AI and machine learning.

Culture & Benefits

• Employee-owned organization with a focus on client, team, and global impact.
• Medical, dental, and vision insurance.
• 401(k) plan with company match.
• Paid time off, company holidays, wellness programs, and employee assistance resources.
• Professional development support, performance-based bonuses, and equity participation.