Data Cloud Solutions Engineer — Enterprise Pre-Sales

Google LLC; New York, Los Angeles (NY, CA); On-site; USD 152,000 - 221,000; Full time

Job summary

Google Cloud is seeking an Agentic Data Cloud Customer Engineer for startups to partner with sales and lead technical pre-sales work. You will map complex data estates, migrate to GCP, and design end-to-end data + AI pipelines with open lakehouse architectures.

You will demonstrate value and guide customers toward scalable data solutions. You will leverage Python, PySpark, and distributed data systems to translate deep technical expertise into business outcomes across large accounts in the US.

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 migrating, refactoring, or debugging proprietary or open source workloads.
• Experience building data platforms, warehouses, or data lakes, and 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 + AI pipelines and map legacy data estates to open-format architectures (Apache Iceberg).
• Orchestrate data engineering to autonomously deploy PySpark/dbt pipelines using the data agent kit, antigravity, and model context protocol.
• Lead showcases and technical value validations using BigQuery, Borderless Lakehouse, Knowledge Catalog, Spark, and Vertex AI to prove outcomes.
• Conduct detailed TCO analyses and optimize architectures to prevent runaway costs on the lightning engine.

Skills

Python

PySpark

Distributed data systems

Data pipelines

Public speaking

Value-selling

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Vertex AI

Apache Iceberg

dbt

Spark

Job description

Google Cloud is seeking an Agentic Data Cloud Customer Engineer for startups to partner with sales and lead technical pre-sales work. You will map complex data estates, migrate to GCP, and design end-to-end data + AI pipelines with open lakehouse architectures.

You will demonstrate value and guide customers toward scalable data solutions. You will leverage Python, PySpark, and distributed data systems to translate deep technical expertise into business outcomes across large accounts in the US.