Data Cloud Engineer II: AI Pipelines & Lakehouse

Google; Sunnyvale (CA); Hybrid; USD 127,000 - 184,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401(k) match

PTO 20 days/year

Job summary

Google Cloud is seeking an Agentic Data Cloud Customer Engineer to be the premier technical advisor, partnering with Sales to map complex data estates and migrate to GCP. You will architect and demonstrate end-to-end Data and AI pipelines for enterprise needs.

You will translate business requirements into scalable data solutions using PySpark, BigQuery, and related tools, while engaging C-level stakeholders in high-impact demonstrations.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 6+ years in data or systems engineering, solutions architecture, or pre-sales.
• 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 data programming languages.

Responsibilities

• Define technical strategy for large accounts, engaging C-level executives via live demonstrations.
• Design, code, and deploy production-grade Data and AI pipelines and map legacy data estates to open-format architectures (Iceberg).
• Orchestrate data engineering to deploy PySpark/dbt pipelines using the Data Agent Kit and related tools.
• Lead showcases and technical value validations using BigQuery, Lakehouse, and AI tools to prove outcomes.
• Conduct TCO analyses and optimize architectures to prevent runaway costs on the Lightning Engine.

Skills

Data engineering

Pre-sales

Python

PySpark

BigQuery

LLM integration

Technical demonstrations

C-level engagement

Communication

Education

Bachelor's degree or equivalent practical experience

Tools

Apache Iceberg

dbt

BigQuery

Spark

Vertex AI

Job description

Google Cloud is seeking an Agentic Data Cloud Customer Engineer to be the premier technical advisor, partnering with Sales to map complex data estates and migrate to GCP. You will architect and demonstrate end-to-end Data and AI pipelines for enterprise needs.

You will translate business requirements into scalable data solutions using PySpark, BigQuery, and related tools, while engaging C-level stakeholders in high-impact demonstrations.