Data Cloud FDE IV: Build Production ML Pipelines (Remote)

Google LLC; Bogotá; Hybrid; COP 120,000,000 - 180,000,000; Full time

Job summary

Google Cloud’s Data Cloud team builds the data platform behind Google’s agentic AI offerings: BigQuery, Managed Spark, lakehouse, Spanner, AlloyDB and Knowledge Catalog. As a Forward Deployed Engineer on the Data Cloud team, you will be an embedded builder delivering white-glove deployment of complex systems and feeding field insights into product roadmaps.

Join the Go-To-Market team to drive the AI revolution for customers worldwide, leveraging Gemini models and Vertex AI, with access to

Qualifications

• Bachelor’s degree in Engineering or Computer Science or equivalent practical experience.
• 8+ years in software/data/ML roles with Python and SQL code.
• Experience with data cloud ecosystems on GCP and data pipelines.

Responsibilities

• Build and ship production data and ML workloads with PySpark, SQL, and Python on BigQuery, Spark, Spanner and AlloyDB.
• Set up proofs of concept with client data, including de-identification.
• Create data foundations for agentic solutions with lakehouse architectures and access controls.
• Train, evaluate, and deploy ML/agentic components to improve business metrics with monitoring.
• Migrate analytics workloads between platforms with cost and performance gains.

Skills

Python

SQL

Data engineering

Machine learning

English

Portuguese

Education

Bachelor’s degree in Engineering or Computer Science

Tools

BigQuery

Spark

Spanner

Dataplex

Iceberg

Delta Lake

Databricks

Snowflake

Job description

Google Cloud’s Data Cloud team builds the data platform behind Google’s agentic AI offerings: BigQuery, Managed Spark, lakehouse, Spanner, AlloyDB and Knowledge Catalog. As a Forward Deployed Engineer on the Data Cloud team, you will be an embedded builder delivering white-glove deployment of complex systems and feeding field insights into product roadmaps.

Join the Go-To-Market team to drive the AI revolution for customers worldwide, leveraging Gemini models and Vertex AI, with access to