Senior Microsoft Fabric Data Architect - Hands-On Lead

DataFactZ, Inc.; Northville (MI); On-site; USD 150,000 - 210,000; Full time

Job summary

DataFactZ, Inc. seeks a hands-on Microsoft Fabric Data Architect to lead the design and delivery of modern enterprise data and analytics solutions from Northville, MI.

This senior technical leadership role combines architecture, implementation, and customer-facing pre-sales discussions, with mentoring of engineers on Fabric patterns. You will own end-to-end Fabric deployments, oversee migrations from legacy platforms, optimize performance, govern data assets, and partner with business

Qualifications

• Experience designing enterprise data architectures with Fabric and Lakehouse patterns.
• Proven ability to lead architecture, hands-on implementation, and mentoring.
• Experience with data governance, security, and performance tuning.
• Strong collaboration with stakeholders and pre-sales activities.

Responsibilities

• Lead end-to-end Fabric design, deployment, and optimization.
• Migrate legacy data platforms to Fabric and modern analytics.
• Provide architecture guidance and code reviews for delivery teams.
• Engage in customer discussions, demos, and pre-sales activities.
• Mentor junior engineers and uphold engineering standards.

Skills

Microsoft Fabric

Data architecture

Data warehousing

Power BI

ETL/ELT

SQL

Team leadership

Pre-sales

Notebooks/Spark

Onshore delivery

Education

Bachelor's degree in Computer Science / Information Systems or related field

Tools

OneLake

Lakehouse

Fabric Warehouse

Data Factory/Pipelines

Notebooks

Spark

SQL

Power BI

Job description

DataFactZ, Inc. seeks a hands-on Microsoft Fabric Data Architect to lead the design and delivery of modern enterprise data and analytics solutions from Northville, MI.

This senior technical leadership role combines architecture, implementation, and customer-facing pre-sales discussions, with mentoring of engineers on Fabric patterns. You will own end-to-end Fabric deployments, oversee migrations from legacy platforms, optimize performance, govern data assets, and partner with business