> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Forward Deployed Engineer III, Data Cloud, Google Cloud

Canonical URL: https://nextmove.md/fde/jobs/82606f0a46009d9d

Google posts a FDE role to build what the customer runs in San Francisco, CA and 6 more, at $174,000–$252,000 base, above the senior FDE median of $190,000 across 1,866 postings with pay. An embedded engineer on Google Cloud’s Data Cloud team who builds and deploys production data, machine learning, and agentic workloads alongside customers. Read from the employer’s posting on November 6, 2026.

- [Google](https://nextmove.md/fde/companies/google)

Published November 5, 2026 · Updated November 6, 2026

**$174,000–$252,000** *annualized* San Francisco, CA · Austin, TX · +5 more Today

An embedded engineer on Google Cloud’s Data Cloud team who builds and deploys production data, machine learning, and agentic workloads alongside customers.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F82606f0a46009d9d&placement=top)
- [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/74304021170397894)

Free for you. Upload your resume once, see which FDE postings fit you and why, and get introduced when you say so. We never share your profile with employers without your permission.

## At a glance

### Posted base pay

$174K–$252K Above the median

This job $174K to $252K. Typical senior FDE pay, the middle 50% of 1,866 postings: $160K to $220K, median $190K.

[Compare pay across all Google postings](https://nextmove.md/fde/salary/google)

### The work

Builds what the customer runs

Balance

1. Mostly building
2. Mixed
3. Mostly pre-sales or support

Project stages

1. Pre-sales (not covered)
2. Proof of concept
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **5+ years** Software engineering, data engineering, solution architecture, machine learning, or technical consulting

Background

- **Software engineering**
- **Implementation and data engineering**
- **Consulting**

### Do you meet what the posting states?

The posting asks for 5+ years. How many do you have?

The job is in San Francisco, CA · Austin, TX · +5 more. Could you work in one of these?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## More like this

[Indicium AI](https://nextmove.md/fde/companies/indicium-ai)

### [Forward Deployed AI Engineer](https://nextmove.md/fde/jobs/626f9f4c8619387b)

New York, NY 3mo ago

$180,000–$240,000

[Glean](https://nextmove.md/fde/companies/glean)

### [Founding Forward Deployed Engineer](https://nextmove.md/fde/jobs/1c77cf92a5eebfe8)

Mountain View, CA Hybrid 9mo ago

$160,000–$270,000

[Sentry](https://nextmove.md/fde/companies/sentry)

### [Forward Deployed Engineer ](https://nextmove.md/fde/jobs/541bacaa6aead6e0)

San Francisco, CA Hybrid 6mo ago

$190,000–$230,000

- [Other jobs at Google (27)](https://nextmove.md/fde/companies/google)

## The job description from Google

### 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.

### 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.

### Qualifications

### 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.

[View posting at Google](https://www.google.com/about/careers/applications/jobs/results/74304021170397894)

## About Google

Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.

Public · 5000+ people

## Similar jobs

[Cohere](https://nextmove.md/fde/companies/cohere)

### [Forward Deployed Engineer, Agentic Platform](https://nextmove.md/fde/jobs/718afc10364c8e3c)

San Francisco, CA Remote 6mo ago

CA$175,000–CA$385,000

[Scale AI](https://nextmove.md/fde/companies/scale-ai)

### [Infrastructure Software Engineer, Enterprise GenAI](https://nextmove.md/fde/jobs/0ffd9374ddf8014f)

San Francisco, CA · New York, NY 8mo ago

$179,400–$224,250

[Databricks](https://nextmove.md/fde/companies/databricks)

### [Sr. Forward Deployed Engineer (FDE) - Public Sector ](https://nextmove.md/fde/jobs/99fcc726b3f450eb)

Chicago, IL · Columbus, OH · +1 more Hybrid 2mo ago

$182,000–$250,208

[Amazon (incl AWS)](https://nextmove.md/fde/companies/amazon-incl-aws)

### [Sr. Delivery Consultant - AI/ML, WWPS ProServe](https://nextmove.md/fde/jobs/bfdbb2e72b1442fa)

Denver, CO · Atlanta, GA · +6 more 5w ago

$153,600–$228,600

[OpenAI](https://nextmove.md/fde/companies/openai)

### [Forward Deployed Software Engineer - NYC](https://nextmove.md/fde/jobs/6ea3d05e36a0bacf)

New York, NY Hybrid 11mo ago

$153,000–$325,000

- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
- [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro)
- [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers)

Hiring at Google and want this page changed or removed? Email info@nextmove.md and we take it down.

## Conditions

- **Location**: San Francisco, CA · Austin, TX · Chicago, IL · Kirkland, WA · New York, NY · Seattle, WA · Sunnyvale, CA

Employer postings · [How we read postings](https://nextmove.md/fde/method)
