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 an

📌 Practice Customer Engineer Associate, Data Analytics, Enterprise (Ciudad de México)
🏢 Google
📍 Ciudad de México