Senior Data Cloud Engineer: Pre-Sales & AI Pipelines

Google LLC; Atlanta (GA); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health, dental, vision, life, and 1dis

Retirement Benefits: 401(k) with match

Paid Time Off: 20 days per year

Sick Time: 40 hours/year (increased to

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays per year

Job summary

Google Cloud seeks an Agentic Data Cloud Customer Engineer to serve as the technical lead for large accounts, partnering with Sales Specialists to drive pre-sales strategy. You will map complex data estates, qualify migrations to GCP, and design end-to-end data and AI pipelines for enterprise needs.

You will showcase APIs and open lakehouse architectures, while delivering code demos and ensuring scalable, cost-effective solutions.

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.
• Orchestrate Intent-Driven data engineering to autonomously deploy PySpark/dbt pipelines.
• Lead high-impact showcases and technical value validations using BigQuery, Borderless Lakehouse, Knowledge Catalog, Spark, and Vertex AI.
• Conduct detailed Total Cost of Ownership analyses and optimize architectures to prevent runaway costs.

Skills

Data engineering

Python

PySpark

Distributed data systems

Pre-sales & demos

Architecting data platforms

Value-selling

Data lakes/warehouses

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Vertex AI

dbt

Apache Iceberg

Job description

Google Cloud seeks an Agentic Data Cloud Customer Engineer to serve as the technical lead for large accounts, partnering with Sales Specialists to drive pre-sales strategy. You will map complex data estates, qualify migrations to GCP, and design end-to-end data and AI pipelines for enterprise needs.

You will showcase APIs and open lakehouse architectures, while delivering code demos and ensuring scalable, cost-effective solutions.