Microsoft Fabric Technical Lead

Anblicks; Dallas (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Anblicks in Dallas seeks a Microsoft Fabric Technical Lead to architect and deliver end-to-end data and analytics solutions. You will drive modernization from legacy platforms to Fabric and define scalable patterns for adoption across ingestion, storage, and reporting.

The role requires hands-on leadership, strong data architecture knowledge, and experience guiding large distributed teams through complex migrations.

Qualifications

• 12+ years in data engineering, warehousing, analytics, and cloud data platforms.
• 5+ years with Azure Data Platform technologies.
• 3+ years hands-on implementing Microsoft Fabric solutions.
• Proven end-to-end data platform delivery from ingestion to reporting.

Responsibilities

• Lead end-to-end Fabric data and analytics solution design and implementation.
• Drive modernization and migration from legacy platforms to Fabric.
• Define scalable approaches, standards, and reusable patterns for Fabric adoption.
• Provide technical leadership across ingestion, transformation, storage, modeling, analytics, and reporting.
• Guide teams in Lakehouse, Data Warehouse, and Medallion Architecture initiatives.

Skills

Data Engineering

Data Warehousing

Analytics

Azure Data Platform

Technical Leadership

Stakeholder Collaboration

Performance Optimization

Mentoring

Education

Bachelor's or Master's degree in CS/Engineering/IT

Tools

Microsoft Fabric

ETL Tools

Job description

Job Title: Microsoft Fabric Technical Lead

Key Responsibilities

• Lead the solutioning, design, and implementation of end-to-end Microsoft Fabric data and analytics solutions.
• Drive modernization and migration initiatives from legacy data platforms, ETL tools, and data warehouses to Microsoft Fabric.
• Define scalable implementation approaches, best practices, standards, and reusable patterns for Fabric adoption.
• Provide technical leadership across data ingestion, transformation, storage, semantic modeling, analytics, and reporting components.
• Work closely with business stakeholders, architects, product owners, and engineering teams to translate requirements into scalable solutions.
• Lead solution reviews, technical roadmaps, estimation, and delivery planning activities.
• Guide teams in implementing Lakehouse, Data Warehouse, Medallion Architecture, Real-Time Analytics, and enterprise reporting solutions.
• Ensure solutions meet performance, scalability, security, governance, and operational requirements.
• Drive engineering excellence through code reviews, mentoring, DevOps adoption, and implementation best practices.
• Remain hands-on in critical design decisions, troubleshooting, optimization, and key implementation activities.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related field.
• 12+ years of experience in Data Engineering, Data Warehousing, Analytics, and Cloud Data Platforms.
• 5+ years of experience with Azure Data Platform technologies.
• 3+ years of hands-on experience implementing Microsoft Fabric solutions.
• Proven experience delivering end-to-end enterprise data platform implementations from ingestion through analytics and reporting.
• Strong experience leading modernization and migration programs from legacy/on-premises data platforms to Microsoft Fabric.
• Strong understanding of enterprise data architecture, data engineering best practices, governance, and performance optimization.
• Experience leading distributed delivery teams and collaborating with business and technology stakeholders.
• Demonstrated ability to combine technical leadership with hands-on execution.