AmazonManager, Data Engineering, GMT Global Operations Engineering and Support
Amazon is hiring a Manager, Data Engineering, GMT Global Operations Engineering and Support in Austin, United States. It pays $170k-$230k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
- The listed pay starts 13% above the typical data engineer posting on Level.
- Tools and skills the posting cites include AWS, ETL and SQL.
- Level classifies it as a lead role.
- Level lists 21,000+ other open roles at Amazon.
AI in this role
Lead a data engineering team to modernize reporting platforms and build scalable AWS-native data pipelines.
Key job responsibilities
- Lead Engineers and Database Administrators, owning performance management and career growth.
- Own operational excellence for custom reporting and analytical applications, their data pipelines, and the database platforms underpinning WWGST applications, including the team's on-call rotation and on-time data delivery.
- Own production change management, including change plans, approvals, and release schedules.
- Ensure applications and infrastructure meet security and compliance standards, including security reviews, credential rotation, and audit requirements.
- Own the roadmap for the team's data and reporting solutions, partnering with WWGST leadership and business stakeholders to prioritize.
- Set the technical bar: guide the design of scalable data models, ETL/ELT processes, reporting solutions, and database architectures.
- Drive the transition from legacy and third-party solutions to AWS-native infrastructure, making pragmatic build/buy/migrate decisions, and manage third-party partner relationships, including knowledge transfer and transition planning.
- Balance project delivery against operational support, managing sprint planning, prioritization, and backlog health.
- Collaborate cross-functionally with Software Development, Business Intelligence, Product, and Program Management teams across WWGST and Whole Foods Market (WFM).
- Own communication to senior leadership and business stakeholders, covering roadmap progress, risks, and trade-offs, plus timely, clear updates during incidents.
A day in the life
Your day blends people leadership with technical direction. You will run standups and 1:1s, unblock engineers, review designs, and represent the team in cross-functional planning. Your team works across multiple technology stacks using SQL, Python, and Java; you stay technical enough to challenge a data model, question an ETL design, and pressure-test a database upgrade plan. You will watch pipeline health, database availability, and data delivery commitments, coordinating incident response when operations demand it. You will sequence modernization work against business-as-usual demands and spend real time hiring and developing talent.
About the team
The Data Platform Management (DPM) team under Global Operations Engineering and Support (GOES) is made up of data engineers and database administrators responsible for data and reporting solutions and database platform operations for Grocery business users. We enable sophisticated, fact-based decision making across WWGST by delivering constantly evolving technology and analytic capabilities. The team solves challenging and novel problems every day while collaborating with multiple teams across WWGST and Whole Foods Market (WFM). You will enjoy and contribute to the unique blend of Amazon and WFM Tech culture.
Basic qualifications
- 7+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 7+ years of data engineering experience
- 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 5+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Preferred qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, TX, AUSTIN - 170,000.00 - 230,000.00 USD annually
How we rate this
Manager, Data Engineering, GMT Global Operations Engineering and Support at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- This job starts at
- $170k
- Typical data engineer job
- $150k
This posting starts 13% above the typical data engineer job. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where cloud migration was part of your work. What did you do?
- Tell me about a project where database administration was part of your work. What did you do?
- Walk me through how you've used AWS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Engineering, Team Management, Cloud Migration, Database Administration, and AWS. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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