Forward Deployed Engineer IV, Data Cloud, Google Cloud (English, Portuguese)

Google LLC; Santiago; On-site; CLP 178,571,000 - 238,095,000; Full time

Job summary

Google LLC in multiple locations is seeking a Forward Deployed Engineer IV for the Data Cloud team. You will embed with customers to deploy data and ML solutions, design lakehouse architectures, and improve production pipelines using PySpark, SQL, and Python across BigQuery, Spark, Spanner, and AlloyDB.

You will collaborate with regional teams, apply advanced patterns for agentic systems, and help shape the product roadmap with practical field insights.

Qualifications

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience in software, data engineering, architecture, ML, or technical consulting; Python and SQL required.
• Experience with data cloud ecosystem products, technologies, or languages such as Spark, BigQuery, Spanner, AlloyDB.

Responsibilities

• Build and ship production data and ML workloads with PySpark, SQL, and Python on BigQuery, Spark, Spanner, and AlloyDB.
• Stand up proofs with customers' data and de-identify sensitive data when needed.
• Design data foundations for agentic solutions, lakehouse architectures, metadata, and access controls.
• Train, evaluate, and deploy ML and agentic components to improve business metrics with monitoring.
• Refactor and migrate high-cost analytics workloads to Google Cloud with cost-performance improvements.

Skills

Python

SQL

Data engineering

Machine learning

English

Portuguese

Education

Bachelor's degree in Engineering or Computer Science

Tools

BigQuery

Spark

Spanner

Dataplex

AlloyDB

Job description

Forward Deployed Engineer IV, Data Cloud, Google Cloud (English, Portuguese)

Locations: São Paulo, Brazil; Belo Horizonte, Minas Gerais, Brazil; +5 more; +4 more Remote eligible

Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

In most instances, this position requires in‑person interviews as part of the hiring process.

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following:

In-office locations: São Paulo, Brazil; Belo Horizonte, Minas Gerais, Brazil; Santiago, Chile; Bogotá, Bogota, Colombia; Mexico City, CDMX, Mexico.

Remote location(s): Brazil.

Minimum qualifications

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience in software engineering, data engineering, solution architecture, machine learning, or technical consulting, including experience writing code in Python and SQL.
• Experience with data cloud ecosystem products, technologies, or languages (e.g., Apache Spark, PySpark, BigQuery, Spanner, AlloyDB).
• Experience taking production‑grade data cloud solutions from conception to launch, architecting data systems on cloud platforms (GCP), and building structured/unstructured pipelines.
• Experience training, evaluating, and deploying machine learning models in production.
• Ability to communicate in English and Portuguese fluently to collaborate with regional teams.

Preferred qualifications

• Experience building LLM applications (e.g., Gemini, RAG, vector search) and multi‑agent frameworks (LangGraph, CrewAI, ADK) using advanced patterns (ReAct, delegation).
• Experience with GCP data products (BigQuery, Spark, Spanner, Dataplex) or equivalents (Databricks, Snowflake), and open table formats (Iceberg, Delta Lake).
• Experience migrating analytics, Spark, or database workloads between platforms with measured cost and performance outcomes.
• Skilled in prompt engineering, model evaluation, LLM‑native metrics (latency, tokens/sec, cost), state management, and granular tracing.

About the job

Google Cloud's Data Cloud team builds the data platform behind Google's agentic AI offerings: BigQuery, Managed Spark, borderless Lakehouse, Spanner, AlloyDB and Knowledge Catalog, integrated with Gemini Enterprise.

As a Forward Deployed Engineer (FDE) on our Data Cloud team, you will be an embedded builder who bridges the gap between frontier data solutions and production‑grade reality for customers. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of complex systems and acting as a critical feedback loop, transforming real‑world field insights into Google Cloud's future product roadmap.

It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.

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 metric, 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.

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Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

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