Forward Deployed Engineering Manager, Data Cloud, Google Cloud (English, Spanish, Portuguese)

Google LLC; São Paulo; On-site; BRL 900,000 - 1,500,000; Full time

Job summary

Google LLC's Cloud Data Cloud team seeks a Forward Deployed Engineering Manager to lead an FDE team bridging frontier data solutions and production-grade reality for customers. You will guide data workloads from prototype to production on BigQuery, Managed Spark, borderless Lakehouse, Spanner, AlloyDB and Knowledge Catalog.

You will be a technical leader, credible with CTOs and data platform leaders, reviewing designs and code.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience in cloud computing, technical sales engineering, or software engineering with cloud-native architectures.
• 2 years of experience managing a software engineering, FDE, or similar technical customer-facing team in a cloud computing environment.
• Experience designing platforms built on Data Cloud services (e.g., BigQuery, Managed Spark/Lightning Engine, Apache Iceberg (Borderless Lakehouse), AlloyDB, Pub/Sub, Dataflow, Kafka).
• Experience building agentic AI systems on enterprise data (agents, retrieval, vector search, evaluation).
• Ability to communicate in English, Spanish, and Portuguese fluently to collaborate with regional teams.

Responsibilities

• Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
• Partner with Sales and Tech Leadership to define requirements for high-value opportunities, deploying specialized experts to key accounts.
• Lead technical hiring for FDE, evaluating data engineering expertise, systems engineering, and coding skills to build an exceptional engineering team.
• Identify skill gaps in emerging tech (MCP, tool-calling, and foundation models, building agents), ensuring the team maintains subject matter expertise in an evolving data stack.
• Collaborate with Product and Engineering to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.

Skills

Cloud computing experience

AI/ML systems

Team leadership

Cloud-native architectures

Data Cloud platforms

Multilingual collaboration

Education

Bachelor's degree in Engineering or CS

Tools

BigQuery

Managed Spark

Apache Iceberg

Job description

Share Forward Deployed Engineering Manager, Data Cloud, Google Cloud (English, Spanish, Portuguese)

X In most instances, this position requires in-person interviews as part of the hiring process. For Mexico and Sao Paulo Applicants: Please submit your resume in English - we can only consider applications submitted in this language. For Mexico Applicants: 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: São Paulo, Brazil; Mexico City, CDMX, Mexico.

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 8 years of experience in cloud computing, technical sales engineering, or software engineering with cloud-native architectures.
• 2 years of experience managing a software engineering, FDE, or similar technical customer-facing team in a cloud computing environment.
• Experience designing platforms built on Data Cloud services (e.g., BigQuery, Managed Spark/Lightning Engine, Apache Iceberg (Borderless Lakehouse), AlloyDB, Pub/Sub, Dataflow, Kafka).
• Experience building agentic AI systems on enterprise data (agents, retrieval, vector search, evaluation).
• Ability to communicate in English, Spanish, and Portuguese fluently to collaborate with regional teams.

Preferred qualifications:

• Experience leading forward deployed engineering, field engineering or professional services organizations at a data platform, AI-first company, or a hyperscaler’s data and machine learning services team.
• Experience engaging credibly with multi-level executives and with engineers.
• Experience with Google Cloud data products, or experience participating against them.
• Experience across Data Cloud specializations, including Data Engineering, Data Science/Machine Learning, Application Development, Operations, and Analytical Databases/Data Management.
• Experience building data pipelines, engineering features, and training/deploying machine learning models.
• Experience with RAG architectures, chunking/indexing strategies, vector databases, hybrid search, and data governance for grounding agents in enterprise context.

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 Engineering Manager, you will lead a Forward Deployed Engineering (FDE) team for Google Cloud’s Data Cloud. Your team will bridge the gap between frontier data solutions and production-grade reality for customers. You will take customers’ data and machine learning workloads from prototype to production on BigQuery, Managed Spark, borderless Lakehouse, Spanner, AlloyDB and Knowledge Catalog. You will be a technical leader: credible with CTOs and data platform leaders, able to review your team’s designs and code, and a strong judge of engineering talent.

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

• Serve as the technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
• Partner with Sales and Tech Leadership to define requirements for high-value opportunities, deploying specialized experts to key accounts.
• Lead technical hiring for FDE, evaluating data engineering expertise, systems engineering, and coding skills to build an exceptional engineering team.
• Identify skill gaps in emerging tech (MCP, tool-calling, and foundation models, building agents), ensuring the team maintains subject matter expertise in an evolving data stack.
• Collaborate with Product and Engineering to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.