Customer Engineer, Data Analytics, Google Cloud
- linkCopy link
- emailEmail a friend
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: Google’s hybrid workplace includes remote roles.Remote location: Mexico.
Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
- 10 years of experience with Big Data technologies, analytic warehousing technologies, data processing technologies, and performance and scalability optimizations.
- Experience in delivering technical presentations while leading discovery and planning sessions that are aligned with the customer's defined scope and success criteria.
Preferred qualifications:
- Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (e.g. ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
- Experience with technical sales or professional consulting in the fields of cloud computing, data analytics, and Big Data.
- Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
- Knowledge of cloud computing and cloud market, engaged dynamics, and customer buying behavior.
- Understanding of customer requirements, with the ability to break down the requirements and design a technical architecture.
About the job
When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.As a Customer Engineer for Data Analytics, you will utilize both technical and communication skills to address all aspects of the data lifecycle. You will work in an environment of respect and inclusion where we promote equal opportunities to succeed.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
- Support local Sales teams in pursuit of key business opportunities, and engage customers to address aspects of the data lifecycle.
- Work with the Sales team to identify business and technical requirements, conduct full technical discovery, and architect client solutions to meet gathered requirements.
- Lead technical projects such as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
- Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and Request for Information (RFI) response documents.
- Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel to customer sites, conferences, and other related events as needed.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action 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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.