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Lead Data Engineer - Databricks & Microsoft Fabric

Lighthouse MTG LLC
Lincoln, RI

Quick Apply

Job Details

Temp-to-hire

Qualifications

Data model design
Commercial use (data warehousing systems)
Cloud analytics services
Databricks
Data Integration (Data management)
Azure
Data modeling projects
Spark
Schema design
Data Architecture Design (Architecture design skills)
ETL process automation
Cloud database architecture
Python

Full Job Description

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

Requirements:

7+ years of experience in data engineering or data platform development
Strong hands-on experience with Databricks and Apache Spark
Experience implementing Microsoft Fabric data solutions
Proficiency in Python and PySpark
Experience working with Azure data services and cloud-based data platforms
Experience designing modern lakehouse or data warehouse architectures
Strong understanding of data pipeline design, ETL/ELT processes, and data modeling

Preferred

Experience supporting AI or machine learning workloads
Experience working in enterprise data environments
Familiarity with CI/CD and data platform automation

Quick Apply

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Lead Data Engineer - Databricks & Microsoft Fabric

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