Senior .Net/Aws Backend Lead — Client-Facing

Loopstudio; Quilmes; On-site; ARS 139,086,000 - 216,357,000; Full time

Job summary

Google is seeking a Data Customer Solutions Engineer for Google Cloud. You will collaborate with customers to design scalable, secure databases and drive data migrations to the cloud. You’ll contribute to governance, security controls, and best practices for database operations.

Travel to customer sites may be required to deploy solutions and run workshops, with strong emphasis on data modeling and SQL, Spanner/BigTable/AlloyDB expertise, and multilingual communication across LATAM teams.

Qualifications

• Bachelor's degree in Engineering, Computer Science or related field; equivalent practical experience.
• Experience coding with Java, C/C++, Python or similar languages.
• Experience with MySQL, PostgreSQL, Oracle and NoSQL systems like MongoDB.
• Strong SQL skills and database design knowledge.

Responsibilities

• Collaborate with customers to design scalable, secure Google Cloud databases.
• Lead data migrations from on‑premises to Google Cloud with modern tools.
• Implement data governance and quality processes for reliability.
• Troubleshoot storage systems and optimize performance.

Skills

Programming languages (Java, C/C++, or

Education

Bachelor's degree in Engineering / Computer Science

Tools

MySQL

PostgreSQL

Oracle

MongoDB

SQL

Cloud databases (Spanner, BigTable, AlloyDB)

Job description

Data Customer Solutions Engineer, Google Cloud

Data Customer Solutions Engineer, Google Cloud
Share Data Customer Solutions Engineer, Google Cloud
_corporate_fare_ Google _place_ Buenos Aires, Argentina; Mexico City, CDMX, Mexico
**Early**
Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.
Share Data Customer Solutions Engineer, Google Cloud
_info_outline_
XIn most instances, this position requires in-person interviews as part of the hiring process.
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.
**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.
**Additional Information**
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.