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

Open nowFirst seen 2 hours ago

Data Customer Solutions Engineer, Google Cloud

Google3,697 open roles

Where
Buenos Aires, Argentina; Mexico City, CDMX, Mexico
Get the CV for this job

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

Your applicationOpen nowData Customer Solutions Engineer, Google CloudGoogle · Buenos Aires, Argentina; Mexico City, CDMX, Mexico

  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 Google'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.

9.8% of postings close within 7 days. Measured by our own scanner across the market. Google postings stay open a median of 28 days.

Share of postings closed within
  1. 1.9%1 day
  2. 3.9%3 days
  3. 9.8%7 days
  4. 15.6%14 days
  5. 33.8%30 days
This job: first seen 2 hours ago

Google median: 28 days open

The posting

In most instances, this position requires in-person interviews as part of the hiring process.

Please submit your resume in English - we can only consider applications submitted in this language.

Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Buenos Aires, Argentina; Mexico City, CDMX, Mexico.

Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • Experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  • Experience in developing and troubleshooting applications with popular database management systems such as MySQL, PostgreSQL, Oracle, and NoSQL databases like MongoDB
  • Experience with Structured Query Language (SQL).

Preferred qualifications:

  • Bachelor's degree with 5 years of technical troubleshooting.
  • Proficiency in data modeling, distributed systems, and SQL, NoSQL, and Google Cloud databases (Spanner, BigTable, AlloyDB).
  • Expertise in designing and executing large-scale data migrations from on-premise systems to the cloud.
  • Strong programming skills (Python, Java), script automation, and DevOps implementation using CI/CD and IaC tools.
  • Deep understanding of data protection, encryption techniques (KMS, HSMs), and regulatory compliance (GDPR, CCPA, HIPAA).
  • Ability to communicate in English and Portuguese/Spanish fluently for LATAM stakeholders.

About the job

As a Strategic Cloud Data Engineer, you will work with customers and partner teams to design,develop,deploy and manage highly scalable and reliable databases on the Google Cloud Platform meeting the Organization’s storage demands. You will work on data migrations and modernization projects incorporating best practices of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customer teams to adhere to best practices in Database design and operations. Additionally, you will work closely with Product Management and Product Engineering teams to build and constantly drive excellence in our products that solve the biggest customer challenges.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

  • Interact with stakeholders to translate complex business and technical requirements into recommendations for scalable and cost-effective database solutions and advisory services.
  • Engage with technical leads and partners to lead high velocity data migration and modernisation to Google Cloud Platform (GCP) using Google or third-party tools and services.
  • Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
  • Work with customer or partner teams to troubleshoot their complex storage systems for potential performance challenges.
  • Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.
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 Google'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 Google'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

    Google'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.