Manager, Data Engineering, Global Logistics

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 high-level strategic thinking with people management, requiring you to guide your team in translating architectural vision into tactical execution.



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 team's technical direction
- Create and implement scalable, resilient, and cost-effective data architectures
- Simplify data access and streamline analyst processes
- Coordinate multi-team 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 decision-making processes
- Communicate complex ideas effectively to both technical and non-technical 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. You'll 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 cross-functional partners to align data strategies with business goals, or diving into resource planning to ensure your team's efforts are optimally allocated.

A significant portion of your time is dedicated to people management – conducting one-on-ones with team members, mentoring rising leaders, and working on career development plans. You'll regularly engage in strategic discussions with peer managers and senior leadership, advocating for your team's initiatives and showcasing the impact of your data engineering efforts on Amazon's 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 high-performing team.

Whether you're reviewing project proposals, fine-tuning 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 Amazon's logistics network.

About the team
Our Global Logistics Data Engineering team is at the forefront of innovation, leveraging innovative technologies to optimize Amazon's vast supply chain network. We're a diverse group of problem-solvers, constantly pushing the boundaries of what's possible in data engineering. As a leader in this team, you'll guide and develop talented engineers while working on projects that directly impact millions of customers worldwide. You'll 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, full-time 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: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock

Basic Qualifications

- Bachelor's 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

Preferred Qualifications

- Master's 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 non-technical 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, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $153,000/year in our lowest geographic market up to $264,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.