Manager Data Engineering Global Logistics
Manager Data Engineering Global Logistics
Posted on :
27-04-2025
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1 Vacancy
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Job Description
As a Manager of Data Engineering in Global Logistics at Amazon you will lead a team of talented engineers while driving the development and implementation of data strategies that propel our organization forward. This leadership role combines highlevel strategic thinking with people management requiring you to guide your team in translating architectural vision into tactical .
Key job responsibilities
Lead and develop a team of data engineers fostering their growth and career progression
Drive organizational data strategy and establish engineering standards
Oversee complex design reviews and guide your teams technical direction
Create and implement scalable resilient and costeffective data architectures
Simplify data access and streamline analyst processes
Coordinate multiteam initiatives and mentor other managers and engineers
Foster a culture of knowledge sharing innovation and continuous learning
Build consensus across diverse stakeholders and teams
Adapt leadership approach to meet project and team needs
Drive inclusive technical discussions and decisionmaking processes
Communicate complex ideas effectively to both technical and nontechnical audiences
Manage team performance set goals and conduct regular evaluations
A day in the life
As a Manager of Data Engineering your days are dynamic and diverse adapting to the evolving needs of your team and the organization. Youll often start by touching base with your team leads addressing any urgent issues and aligning priorities. Throughout the day you might find yourself guiding architectural decisions in design reviews collaborating with crossfunctional partners to align data strategies with business goals or diving into resource planning to ensure your teams efforts are optimally allocated.
A significant portion of your time is dedicated to people management conducting oneonones with team members mentoring rising leaders and working on career development plans. Youll regularly engage in strategic discussions with peer managers and senior leadership advocating for your teams initiatives and showcasing the impact of your data engineering efforts on Amazons global logistics operations.
When needed you step in to help solve complex technical challenges leveraging your expertise to guide your team through difficult problems. You also play a crucial role in hiring and team growth participating in interviews and making key decisions to build a diverse and highperforming team.
Whether youre reviewing project proposals finetuning data governance policies or preparing for an executive presentation your focus remains on driving innovation fostering team development and ensuring the delivery of scalable efficient data solutions that power Amazons logistics network.
About the team
Our Global Logistics Data Engineering team is at the forefront of innovation leveraging innovative technologies to optimize Amazons vast supply chain network. Were a diverse group of problemsolvers constantly pushing the boundaries of whats possible in data engineering. As a leader in this team youll guide and develop talented engineers while working on projects that directly impact millions of customers worldwide. Youll collaborate with some of the brightest minds in the industry and play a crucial role in shaping the future of data engineering at Amazon.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here: Bachelors degree
8 years of experience in data engineering/analytics
3 years of team leadership experience
Strong SQL and programming skills (Python Java or similar)
Experience with cloud platforms (AWS)
Proficiency with data warehousing and ETL processes
Experience with big data technologies
Understanding of data modeling and database design
Masters degree in Computer Science Engineering or related technical field
Ability to architect scalable data solutions
Experience with data governance security and compliance requirements
Track record of building and scaling data engineering teams
Resource planning and allocation skills
Agile methodology knowledge
Ability to communicate technical concepts to nontechnical audiences
Experience working in logistics supply chain or similar complex operational environments
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153000/year in our lowest geographic market up to $264500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
Lead and develop a team of data engineers fostering their growth and career progression
Drive organizational data strategy and establish engineering standards
Oversee complex design reviews and guide your teams technical direction
Create and implement scalable resilient and costeffective data architectures
Simplify data access and streamline analyst processes
Coordinate multiteam initiatives and mentor other managers and engineers
Foster a culture of knowledge sharing innovation and continuous learning
Build consensus across diverse stakeholders and teams
Adapt leadership approach to meet project and team needs
Drive inclusive technical discussions and decisionmaking processes
Communicate complex ideas effectively to both technical and nontechnical audiences
Manage team performance set goals and conduct regular evaluations
A day in the life
As a Manager of Data Engineering your days are dynamic and diverse adapting to the evolving needs of your team and the organization. Youll often start by touching base with your team leads addressing any urgent issues and aligning priorities. Throughout the day you might find yourself guiding architectural decisions in design reviews collaborating with crossfunctional partners to align data strategies with business goals or diving into resource planning to ensure your teams efforts are optimally allocated.
A significant portion of your time is dedicated to people management conducting oneonones with team members mentoring rising leaders and working on career development plans. Youll regularly engage in strategic discussions with peer managers and senior leadership advocating for your teams initiatives and showcasing the impact of your data engineering efforts on Amazons global logistics operations.
When needed you step in to help solve complex technical challenges leveraging your expertise to guide your team through difficult problems. You also play a crucial role in hiring and team growth participating in interviews and making key decisions to build a diverse and highperforming team.
Whether youre reviewing project proposals finetuning data governance policies or preparing for an executive presentation your focus remains on driving innovation fostering team development and ensuring the delivery of scalable efficient data solutions that power Amazons logistics network.
About the team
Our Global Logistics Data Engineering team is at the forefront of innovation leveraging innovative technologies to optimize Amazons vast supply chain network. Were a diverse group of problemsolvers constantly pushing the boundaries of whats possible in data engineering. As a leader in this team youll guide and develop talented engineers while working on projects that directly impact millions of customers worldwide. Youll collaborate with some of the brightest minds in the industry and play a crucial role in shaping the future of data engineering at Amazon.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here: Bachelors degree
8 years of experience in data engineering/analytics
3 years of team leadership experience
Strong SQL and programming skills (Python Java or similar)
Experience with cloud platforms (AWS)
Proficiency with data warehousing and ETL processes
Experience with big data technologies
Understanding of data modeling and database design
Masters degree in Computer Science Engineering or related technical field
Ability to architect scalable data solutions
Experience with data governance security and compliance requirements
Track record of building and scaling data engineering teams
Resource planning and allocation skills
Agile methodology knowledge
Ability to communicate technical concepts to nontechnical audiences
Experience working in logistics supply chain or similar complex operational environments
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153000/year in our lowest geographic market up to $264500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Exec
Employment Type
Full-Time
Department / Functional Area
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