Senior Data Cloud Engineer: Enterprise AI & Lakehouse Architect

Google LLC; Kirkland (WA); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health, dental, vision, life, and long

401(k) with company match

Paid time off 20 days/year

Sick time 40 hours/year (Seattle 69)

Maternity leave 28-30 weeks

Job summary

Google Cloud is seeking an Agentic Data Cloud Customer Engineer III to drive technical strategy and deliver end‑to‑end data and AI pipelines for large accounts across the US. You will partner with Sales Specialists, Demoworkshops, and architects to migrate legacy estates and demonstrate enterprise lakehouse architectures.

You will lead demonstrations for C‑level executives, design scalable pipelines with PySpark and Python, and optimize architectures to balance cost and performance while

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.
• 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 and map legacy data estates to open‑format architectures (Apache Iceberg).
• Orchestrate Intent‑Driven data engineering to deploy PySpark/dbt pipelines.
• Lead high‑impact showcases and technical value validations using BigQuery, Spark, and Vertex AI to prove business outcomes.
• Conduct detailed Total Cost of Ownership analyses and optimize architectures to prevent runaway costs.

Skills

Data engineering

Pre-sales

Executive demos

Python

PySpark

Open lakehouse

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Spark

Vertex AI

Apache Iceberg

dbt

Job description

Google Cloud is seeking an Agentic Data Cloud Customer Engineer III to drive technical strategy and deliver end‑to‑end data and AI pipelines for large accounts across the US. You will partner with Sales Specialists, Demoworkshops, and architects to migrate legacy estates and demonstrate enterprise lakehouse architectures.

You will lead demonstrations for C‑level executives, design scalable pipelines with PySpark and Python, and optimize architectures to balance cost and performance while