Data Cloud Forward Deployed Engineer - Production ML

Google LLC; Ciudad de México; On-site; MXN 1,800,000 - 2,800,000; Full time

Job summary

Google LLC is seeking an experienced Forward Deployed Engineer to embed with customers, delivering production data and ML workloads on Google Cloud. You will de-identify data, architect lakehouse foundations, and help drive customer success through agentic solutions.

Join a collaborative team at Google Cloud, working with Gemini, Vertex AI, and industry-leading data platforms to transform client challenges into scalable cloud deployments.

Qualifications

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
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Responsibilities

• Build and ship production data and machine learning workloads with customers, writing, testing, and performance-tuning PySpark, SQL, and Python on BigQuery, Managed Spark, Spanner, and AlloyDB.
• Stand up working proofs with customers’ data, including de-identifying sensitive data (e.g., PCI, PHI).
• Build the data foundation for agentic solutions, including lakehouse architectures, metadata and semantic context, and the access controls that let custom agents act on trusted data.
• Train, evaluate, and deploy machine learning and agentic components where they improve the customer’s business metrics, with evaluation and monitoring in place.
• Refactor and migrate high-cost analytics, Spark, and operational database workloads from other platforms onto Google Cloud engines, with measured price-performance results.

Skills

Python

SQL

English

Spanish

Data engineering

Machine learning

Cloud data concepts

Education

Bachelor's degree in Engineering, Computer Science, or related field

Tools

Apache Spark

PySpark

BigQuery

Spanner

AlloyDB

Dataplex

Job description

Google LLC is seeking an experienced Forward Deployed Engineer to embed with customers, delivering production data and ML workloads on Google Cloud. You will de-identify data, architect lakehouse foundations, and help drive customer success through agentic solutions.

Join a collaborative team at Google Cloud, working with Gemini, Vertex AI, and industry-leading data platforms to transform client challenges into scalable cloud deployments.