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.
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

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