Data Engineering Manager

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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and 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 Insight Global