Data Engineering Lead - Azure, Snowflake & ETL Architecture

Arthur J. Gallagher & Co. (AJG)

Rolling Meadows (IL)

Hybrid

USD 140,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Competitive compensation
Comprehensive benefits programs
Career development opportunities

Job summary

Gallagher is seeking a Data Engineering Manager to design, develop, and support data initiatives across the organization, ensuring scalable data delivery architectures. You will lead a team of data engineers and data scientists, aligning work with business goals and collaborating with multiple teams.

The role is hybrid, based at the Rolling Meadows headquarters, with in-office presence scheduled on Tuesdays and Wednesdays and remote otherwise.

Qualifications

  • Has a technical BS degree in IT.
  • 7+ years of data engineering experience with Snowflake, Azure Data Factory, and Databricks.
  • 3+ years leading a technical team and coordinating cross-functional stakeholders.
  • Experience with scripting languages: PowerShell, Python, Scala, Java, and XML.

Responsibilities

  • Lead requirements gathering, scope definition and technical design of data integration workflows.
  • Mentor a team of Data Engineers and Data Scientists (onsite and offshore).
  • Identify risks in data initiatives and develop mitigation strategies.
  • Coordinate delivery across multiple teams and ensure alignment with business priorities.
  • Design and optimize ETL/ELT pipelines and data architectures for scalability.

Skills

Leadership & mentoring
Cross-functional collaboration
Analytical thinking
Problem solving
Agile methodologies
Communication
Data governance

Education

BS Degree in Information Technology

Tools

Snowflake
Azure Data Factory
ADLS Gen 2
Azure Synapse
Azure SQL
SQL Server
Databricks
Apache Spark
Scala

Job description

Gallagher is seeking a Data Engineering Manager to design, develop, and support data initiatives across the organization, ensuring scalable data delivery architectures. You will lead a team of data engineers and data scientists, aligning work with business goals and collaborating with multiple teams.

The role is hybrid, based at the Rolling Meadows headquarters, with in-office presence scheduled on Tuesdays and Wednesdays and remote otherwise.

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