Practice Customer Engineer, Data Analytics, Google Cloud

Google Inc.; Ciudad de México; Presencial; MXN 900.000 - 1.800.000; Jornada completa

Descripción de la vacante

Google Cloud is seeking a Share Practice Customer Engineer specialized in Data Analytics to partner with technical sales teams and differentiate Google Cloud for customers. You will serve as a technical expert driving wins, developing architectures, proofs-of-concept, and demos that showcase value across the data analytics lifecycle.

You will collaborate with Platform CEs, design architectures, and engage with executives to understand business and technical requirements, while promoting

Formación

• Bachelor's degree in a technical field or equivalent practical experience.
• 10 years of experience in a customer-facing technical role or equivalent engineering experience, focused on data analytics and cloud solutions.
• Experience with core data analytics concepts: warehousing, data transformation, ETL/ELT pipelines, SQL, and database performance optimization.
• Experience using programming languages (e.g., Python, Java, Go) for prototypes, demos, or PoCs.
• Experience presenting architectures to technical stakeholders and executive leadership.

Responsabilidades

• Drive the technical win for complex data analytics workloads to enable rapid adoption.
• Combine sales strategies and prototyping to deliver end-to-end data lifecycle solutions.
• Design and architect advanced analytics experiences, including AI-driven data agents.
• Lead migrations and PoCs to move customers to Google Cloud solutions.
• Provide internal leadership and collaborate with Product/Engineering to address customer requests.

Conocimientos

Technical experience

Data analytics

Cloud solutions

Programming languages

Presentation to execs

Educación

Bachelor's degree in technical field

Master's degree (preferred)

Herramientas

SQL

ETL/ELT

Spark/Dataproc

Descripción del empleo

Share Practice Customer Engineer, Data Analytics, Google Cloud

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Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

Share Practice Customer Engineer, Data Analytics, Google Cloud

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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.

• Bachelor's degree in a technical field or equivalent practical experience.
  
• 10 years of experience in a customer-facing technical role or equivalent engineering experience, with a focus on 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 using programming languages (e.g., Python, Java, Go) to build technical prototypes, demonstrations, or proof-of-concepts for customers.
  
• Experience presenting technical architectures to technical stakeholders and executive/C-level business leadership.

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 distributed systems, Lake House architectures, Spark/Dataproc, MLOps, schema design, and query optimization.
• Expertise with advanced data modeling and analytics.
  

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 promote 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.
• Combine sales strategies and prototyping to deliver tailored solutions across the end-to-end data lifecycle—encompassing storage, transformation, and visualization—securing buy-in from customer domain experts.
  
• Design and architect advanced analytics experiences, specifically incorporating modern technologies like AI-driven data agents and analytic agents to meet evolving enterprise demands.
  
• Lead complex migrations and proof-of-concepts, helping enterprise customers transition legacy data environments to modern Google Cloud solutions.
  
• Drive internal technical leadership and feedback loops, partnering with GTM to build reusable solutions and collaborating with Product/Engineering to escalation and resolve customer feature requests.

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 .

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.

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, and 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.