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Practice Customer Engineer Associate, Data Analytics, Enterprise - Google Careers
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Practice Customer Engineer Associate, Data Analytics, Enterprise
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corporate_fareGoogleplaceMexico City, CDMX, Mexico
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Experience completing work as directed, and collaborating with teammates; developing knowledge of relevant concepts and processes.
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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.
Minimum qualifications:
Bachelor"s degree in a technical field or equivalent practical experience.
1 year of experience with data analytics and cloud solutions.
Experience with core data analytics and Big Data concepts (e.g., analytics warehousing, data transformation, ETL/ELT pipeline design, SQL, and database performance optimizations).
Experience in demos, prototypes, or workshops with customers.
Experience engaging with, or presenting to, technical stakeholders or executive leaders.
Preferred qualifications:
Master"s degree in Computer Science, Engineering, Mathematics, or a technical field.
Experience working with LLMs and designing agentic workflows and multi-agent architectures.
Experience in managing and delivering successful proof-of-concepts, focused on the customer value provided by the solution and meeting customer needs.
Expertise with advanced data modeling and analytics.
Excellent leadership and public speaking skills, including experience in creation of blogs and sales field enablement.
About the job
As a Practice Customer Engineer (CE) with a specialty in Data Analytics, you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your deep expertise in our most strategic product areas, in partnership with Platform CEs, to develop architectures and prototypes, proofs-of-concept, and demos to sell new, highly specialized solutions to customers. You will solve customer challenges and provide a critical feedback loop to influence customers and product development.
You will have excellent organizational, communication, and presentation skills, engaging with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will blend sales expertise, market knowledge and direct technical engagement to prove the value of the Google Cloud portfolio.
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
Drive the technical win for complex workloads within data analytics to ensure rapid, successful adoption, supporting the business cycle from use case identification and technical evaluation through customer ramp.
Design and deliver tailored presentations, demonstrations, and technical prototypes that clearly articulate specific use cases and business value to customers.
Lead technical proof-of-concepts and manage Request for Proposal (RFP) responses, ensuring deep prospect engagement through the effective application of complex technical knowledge.
Promote Google"s Data Analytics solutions value through workshops and demonstrations, effectively communicating architectural concepts to audiences ranging from developers to IT leadership.
Drive product adoption and productivity via multiple channels, including readiness to travel for on-site customer visits, industry conferences, and workshops.
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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
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