Forward Deployed Engineer III, Data Cloud, Google Cloud

About the role

MINIMUM QUALIFICATIONS:

• Bachelor’s degree in Engineering, Computer Science, a related field, or

equivalent practical experience.

• 5 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, Catalog, and AlloyDB).

• Experience taking production-grade data cloud solutions from conception to

launch, including architecting data systems on cloud platforms (e.g., GCP)

and building structured/unstructured pipelines.

• Experience training, evaluating, and deploying machine learning models in

production.

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:

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. Individual pay is determined by factors including

job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.