Agentic Data Cloud Customer Engineer III, Telco, Media, Entertainment and Gaming, Google Cloud

Google LLC; Austin, Cambridge (TX, MA); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

401(k) with company match

20 days vacation per year

Sick time 40 hours/year

Maternity leave 28–30 weeks

Baby Bonding Leave 18 weeks

13 paid holidays

Job summary

Google LLC in Austin, Texas is seeking an Agentic Data Cloud Customer Engineer III to lead pre‑sales technical strategy for data platforms, AI pipelines, and enterprise migrations to Google Cloud. You will work with sales to map complex data estates and demonstrate end‑to‑end solutions for executives and developers.

The role emphasizes production‑grade data and AI pipelines, Lakehouse architectures, and cost‑aware optimization using PySpark, Python, and BigQuery.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience as a data or systems engineer, solutions architect, or pre‑sales consultant.
• Experience delivering demos, workshops, or architect overviews to business leaders.
• Experience building data platforms, warehouses, or data lakes.
• Experience migrating, refactoring, or debugging proprietary or open source workloads.
• Experience with data programming languages and leveraging agentic platforms.

Responsibilities

• Define technical strategy for large accounts, engaging C‑level executives via live demonstrations to solve business problems using the Agentic Data Cloud.
• Design, code, and deploy production‑grade Data and AI pipelines (e.g., fraud detection, recommendation engines) and map legacy data estates to open‑format architectures (Apache Iceberg).
• Orchestrate Intent‑Driven data engineering to autonomously deploy PySpark/dbt pipelines using the Data Agent Kit, Antigravity, and Model Context Protocol.
• Lead high‑impact showcases and technical value validations using BigQuery, Borderless Lakehouse, Knowledge Catalog, Spark, and Vertex AI to prove business outcomes.
• Conduct detailed TCO analyses and optimize architectures (such as balancing DRAM/SSD, compute shapes, and token spend) to prevent runaway costs on the Lightning Engine.

Skills

Python

PySpark

Distributed data systems

Data engineering

Data platforms

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Apache Iceberg

dbt

Spark

Knowledge Catalog

Job description

Share Agentic Data Cloud Customer Engineer III, Telco, Media, Entertainment and Gaming, Google Cloud

Google Austin, TX, USA ; Cambridge, MA, USA ; +7 more

Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Cambridge, MA, USA; Chicago, IL, USA; Kirkland, WA, USA; Mountain View, CA, USA; Sunnyvale, CA, USA; New York, NY, USA; Atlanta, GA, USA; Reston, VA, USA.

• Bachelor's degree or equivalent practical experience.
• 10 years of experience as a data or systems engineer, solutions architect, or pre‑sales consultant.
• Experience delivering demos, workshops, or architect overviews to business leaders.
• Experience building data platforms, warehouses, or data lakes.
• Experience migrating, refactoring, or debugging proprietary or open source workloads.
• Experience with data programming languages and leveraging agentic platforms.

Preferred qualifications:

• Experience designing and deploying enterprise Retrieval‑Augmented Generation (RAG) pipelines, LLM application integrations, or context orchestration frameworks.
• Practical experience implementing enterprise data/AI governance, metadata management, access control, or lineage tracking across modern catalogs.
• Experience with developer advocacy, building internal technical advocate programs, delivering technical enablement, or contributing to open‑source data/AI communities.
• Experience in core data science workflows, including proficiency with data manipulation libraries and integrating data pipelines with ML platforms.
• Experience applying value‑selling principles to align technical architectures with business outcomes.

About the job

As an Agentic Data Cloud Customer Engineer, you are the premier technical subject matter expert in your territory. You will partner with Sales Specialists to execute the technical pre‑sales strategy for customers, serving as the trusted technical advisor to CDOs, CTOs, Lead Architects, and developers. You will lead proactive discoveries to map complex, legacy customer data estates and qualify them for migration to GCP.

You are a builder and architect that designs, codes, and deploys production‑grade, end‑to‑end data and artificial intelligence pipelines that solve real‑world enterprise problems. You will whiteboard modern open lakehouse architectures and run code demonstrations showing how unified data foundations power deterministic, hallucination‑free conversational AI.

Leveraging a background in value‑selling, you will conduct detailed Total Cost of Ownership analyses and optimize architectures to prevent runaway spend. You will help customers adopt modern data engineering practices that securely unify data, analytics, and AI. If you possess deep expertise in Python, PySpark, and distributed data systems, and can translate technical excellence into business‑transforming migrations, you will thrive in this highly technical role.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

About the job

As an Agentic Data Cloud Customer Engineer, you are the premier technical subject matter expert in your territory. You will partner with Sales Specialists to execute the technical pre‑sales strategy for customers, serving as the trusted technical advisor to CDOs, CTOs, Lead Architects, and developers. You will lead proactive discoveries to map complex, legacy customer data estates and qualify them for migration to GCP.

You are a builder and architect that designs, codes, and deploys production‑grade, end‑to‑end data and artificial intelligence pipelines that solve real‑world enterprise problems. You will whiteboard modern open lakehouse architectures and run code demonstrations showing how unified data foundations power deterministic, hallucination‑free conversational AI.

Leveraging a background in value‑selling, you will conduct detailed Total Cost of Ownership analyses and optimize architectures to prevent runaway spend. You will help customers adopt modern data engineering practices that securely unify data, analytics, and AI. If you possess deep expertise in Python, PySpark, and distributed data systems, and can translate technical excellence into business‑transforming migrations, you will thrive in this highly technical role.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise‑grade solutions that leverage Google’s cutting‑edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits

Learn more about benefits at Google.

• Define technical strategy for large accounts, engaging C‑level executives via live demonstrations to solve business problems using the Agentic Data Cloud.
• Design, code, and deploy production‑grade Data and AI pipelines (e.g., fraud detection, recommendation engines) and map legacy data estates to open‑format architectures (Apache Iceberg).
• Orchestrate Intent‑Driven data engineering to autonomously deploy PySpark/dbt pipelines using the Data Agent Kit, Antigravity, and Model Context Protocol.
• Lead high‑impact showcases and technical value validations using BigQuery, Borderless Lakehouse, Knowledge Catalog, Spark, and Vertex AI to prove business outcomes.
• Conduct detailed TCO analyses and optimize architectures (such as balancing DRAM/SSD, compute shapes, and token spend) to prevent runaway costs on the Lightning Engine.

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, and 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.