MINIMUM QUALIFICATIONS:

* 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,

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