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

Google; Chicago (IL); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health insurance

401(k) match

Vacation days

Sick leave

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google Cloud is hiring an Agentic Data Cloud Customer Engineer for multiple U.S. locations, including Chicago, Austin, and Cambridge. You will partner with Sales to execute technical pre-sales, lead discoveries, and map complex data estates for migration to GCP.

You will design, code, and deploy end-to-end data and AI pipelines. The role requires deep Python, PySpark, and distributed data systems expertise and the ability to translate technical excellence into business outcomes.

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.

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 pipelines

Business storytelling

Education

Bachelor's degree or equivalent

Tools

BigQuery

Spark

Vertex AI

Apache Iceberg

Knowledge Catalog

Job description

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

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

Benefits

• 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.

Minimum 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.

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.

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

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.