Data Engineering Manager
Core
Lead enterprise data engineering strategy, platform development, and delivery of scalable data solutions supporting logistics operations, automation, and AI-enabled decision-making.
Role type
Senior IC Data Engineering Manager (Logistics)
Builds
Enterprise data lake, ELT/ETL pipelines, self-service dashboards, and embedded analytics for supply chain optimization.
Domain
Logistics, Transportation, Supply Chain
Required skills
Data architecture, Data modeling, Cloud platforms, Modern data engineering practices, Team leadership, Agile execution, Data governance, Pipeline orchestration, Stakeholder management
Preferred skills
Logistics, transportation, or supply chain domain experience
Technologies
Databricks, AWS, Snowflake, Airflow, Sigma Computing, Delta Lake
Responsibilities
Lead architecture and development of the enterprise data lake; Partner with stakeholders to prioritize high-impact data initiatives; Own and evolve the modern data stack; Oversee ELT/ETL pipelines integrating TMS, WMS, telematics, and IoT data; Deliver trusted data products for reporting and analytics; Implement best practices for data observability, CI/CD, and performance optimization; Champion data governance and quality standards; Manage sprint planning, resource allocation, and team development; Lead, coach, and retain a high-performing global data engineering team.
Seniority
Senior, hands-on IC with management responsibilities
