Data Engineering Manager
arthur j gallagherRolling Meadows, IL
Data Engineering Manager
arthur j gallagherRolling Meadows, IL
today
Occupations
Data Warehousing SpecialistsComputer and Information Systems ManagersComputer Systems Engineers/ArchitectsAbout the role
Overview:
In this role, you will lead the design, development, and support of Gallagher’s data initiatives, ensuring scalable data delivery across projects. You’ll mentor a team of data engineers and data scientists, aligning work with business goals and cross-functional collaboration. The position focuses on optimizing integration and data architecture to support next-generation products and insights. This hybrid role sits at Gallagher’s Rolling Meadows headquarters, combining strategic leadership with hands-on delivery to drive operational excellence. Compensation / Benefits Competitive compensation Comprehensive benefits programs Career development opportunities Collaborative, people-first culture Global reach with local impact Hybrid work arrangement
Responsibilities:
Lead requirements gathering, scope definition, and technical design for data integration workflows aligned with business objectives Manage and mentor a cross-functional team of data engineers (onsite and offshore) Identify risks in data initiatives and develop mitigation strategies to ensure project success Coordinate development and support across globally distributed teams with clear communication Liaise between technical teams and business users to ensure data solutions meet needs Oversee multiple deliverables to ensure timely completion and alignment with priorities Design and implement process improvements to automate manual tasks and enhance scalability Build ETL/ELT pipelines and data infrastructure using Azure and Snowflake-based technologies Develop analytics tools to support product, growth, and operational metrics Provide ongoing support for data systems and integrations, ensuring reliability and performance Lead debugging and root-cause analysis with stakeholders during incidents Create data tooling that enables analytics and data science teams to innovate Support data architecture decisions to enable secure, reliable data delivery
Key requirements:
BS in Information Technology (or equivalent) 3+ years leading a technical data team 7+ years of data engineering experience with Snowflake, Azure Data Factory, ADLS Gen 2, Databricks, Apache Spark, Synapse, SQL Server Proficiency with scripting languages (PowerShell, Python, Scala, Java, XML) Experience with Data Lake design using Microsoft Azure Data Lake Storage Knowledge of data lake reliability, security, and performance considerations Experience implementing ETL for Data Warehouse and BI solutions Ability to write modular, robust code and follow established ETL standards Knowledge of DevOps/CI-CD and Infrastructure as Code Experience in Agile environments and cross-functional collaboration Strong communication and stakeholder management skills Proven track record delivering outcomes amid ambiguity Experience managing multiple teams and sustaining data system support leadership and mentoring effective communication stakeholder management Snowflake Azure Data Factory Azure Synapse
Matching similar jobs
JOB OVERVIEW
Experience level
Manager
Location
Rolling Meadows, IL
Occupation
Data Warehousing Specialists
Industry
Computer Systems Design Services
Posted
today
Tired of running searches?
Rank the roles you'd take once, and matches like these arrive on their own.
CREATE PROFILE (opens in a new tab)