Lead Data Engineer - Databricks & Microsoft Fabric
Description
Location: Remote (Preference for candidates located in New England)
Engagement: Contract or Contract-to-Hire
Lead Data Engineer
Databricks & Microsoft Fabric
Overview
Spyglass MTG is seeking a highly skilled Lead Data Engineer with strong expertise in Databricks and Microsoft Fabric to help design, build, and scale modern data platforms in Azure.
This role is both strategic and hands-on. The ideal candidate will lead the development of enterprise data solutions while actively building scalable pipelines, lakehouse architectures, and data platforms that support analytics, reporting, and AI initiatives.
The Lead Data Engineer will work closely with data architects, analysts, and business stakeholders to deliver high-performance data solutions that enable organizations to leverage their data more effectively.
Responsibilities
• Design and implement modern data platforms using Databricks and Microsoft Fabric
• Build and maintain scalable data pipelines and ingestion frameworks
• Develop and optimize Spark and PySpark workloads within Databricks
• Implement lakehouse and data warehouse architectures
• Design and manage data models supporting analytics and reporting
• Collaborate with data scientists and analytics teams to support AI and advanced analytics initiatives
• Implement data quality, governance, and security best practices
• Provide technical leadership and mentorship to data engineering team members
• Optimize performance, reliability, and scalability of data platforms