Data Engineering Manager
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Role details
Tech stack
Job description
Insight Global is seeking a Manager of Data Engineering for a top logistics and supply chain client. This candidate will lead the strategy, architecture, and delivery of enterprise-wide data engineering initiatives that support analytics, automation, operational visibility, and AI-driven decision making. The ideal candidate will combine strong technical expertise in modern cloud data platforms with proven leadership experience, guiding a team of engineers while partnering closely with business and technology stakeholders. This individual will play a key role in advancing a modern data ecosystem, delivering scalable data products, and enabling data-driven growth across a complex global organization.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
5+ years of experience building and supporting data platforms, analytics, BI, or data engineering solutions
2+ years of leadership and people management experience
Strong expertise in data architecture, data modeling, cloud platforms, and modern data engineering practices
Hands-on experience with Databricks, AWS, Snowflake, Airflow, Sigma Computing, or similar technologies
Proven success leading enterprise-scale data initiatives and driving business outcomes
Strong stakeholder management and cross-functional collaboration skills
Excellent communication, leadership, problem-solving, and prioritization skills Logistics, transportation, or supply chain industry experience
Experience supporting AI-enabled decision-making initiatives
Exposure to data governance, lineage, and regulatory compliance (GDPR/SOX)
Experience managing global engineering teams
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