Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 3 days ago

Manager, Data Engineering, GMT Global Operations Engineering and Support

Amazon / AWS23,007 open roles

Where
Austin, Texas, United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowManager, Data Engineering, GMT Global Operations Engineering and SupportAmazon / AWS · Austin, Texas, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Amazon / AWS's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Amazon / AWS postings stay open a median of 8 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 3 days ago

Amazon / AWS median: 8 days open

The posting

Amazon's Worldwide Grocery Stores Technology (WWGST) organization is seeking an experienced Data Engineering Manager to lead the Data Platform Management (DPM) team within Global Operations Engineering and Support (GOES) organization. You will lead a team of data engineers and database administrators who build and support the custom reporting and analytical applications that Grocery business users depend on every day, and who operate the database platforms underpinning WWGST applications. You will own both delivery and modernization, driving the transition of our data platform from legacy third-party solutions to next-generation, AWS-native infrastructure. This is a unique opportunity for a leader inspired by Amazon's high-growth grocery business to shape both a team and a technology strategy.

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.

- 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

- 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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Amazon / AWS's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Amazon / AWS's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Amazon / AWS's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.