Data Engineer Lead

Introduction

Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together.

Whether you join us in a client‑facing role or as part of our brokerage division, our HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.

The Data Engineering Lead will be responsible for the design, development, implementation, and support of the Data Initiatives throughout Gallagher, ensuring that optimal data delivery architecture is consistent across ongoing projects. You will lead and mentor data engineers and data scientists, ensuring alignment with business goals and fostering collaboration across multiple teams, systems, and products. You will also oversee deliverables and provide ongoing support to ensure project success and operational excellence.

Do you find the prospect of optimizing or even re‑designing our company’s integration and data architecture to support our next generation of products and data initiatives most exciting? We really should explore together.

• This is a Temp‑To‑Hire, W-2 position. We are not able to do 1099 or C2C.
• It is a fully remote role that will need to be based in the U.S.
• You must meet our U.S. Eligibility requirements for work authorization as noted under "Additional Information" at the bottom of the job description.

• Lead requirements gathering, scope definition, and technical design of integration workflows, ensuring alignment with business objectives and providing strategic direction to the team.
• Experience managing and mentoring a team of Data Engineers (onsite and offshore).
• Proactively identify risks and uncertainties in data initiatives, and develop strategies to mitigate them while ensuring project success.

• Provide leadership, direction, and coordination for development and support teams, including globally located resources, ensuring effective communication and collaboration.
• Act as a liaison between technical teams and business users, ensuring that data solutions meet business needs and addressing concerns or uncertainties effectively.
• Manage deliverables across multiple teams, ensuring timely completion and alignment with business priorities.

• Seek out, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re‑designing infrastructure for greater scalability.
• Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks.
• Construct and maintain enterprise‑level integrations using the Snowflake platform, Azure Synapse, Azure SQL, and SQL Server.
• Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader.

• Lead troubleshooting efforts, driving root‑cause analysis, and coordinating with infrastructure teams to resolve incidents while maintaining transparency with stakeholders.
• Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Provide ongoing support for data systems and integrations, ensuring reliability and performance while addressing issues promptly.

• A relevant technical BS Degree in Information Technology.
• Proven experience in leading cross‑functional teams, managing business users, and driving alignment between…