Data Cloud Architect & Customer Engineer III

Google LLC; Austin, Cambridge (TX, MA); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

401(k) with company match

20 days vacation per year

Sick time 40 hours/year

Maternity leave 28–30 weeks

Baby Bonding Leave 18 weeks

13 paid holidays

Job summary

Google LLC in Austin, Texas is seeking an Agentic Data Cloud Customer Engineer III to lead pre‑sales technical strategy for data platforms, AI pipelines, and enterprise migrations to Google Cloud. You will work with sales to map complex data estates and demonstrate end‑to‑end solutions for executives and developers.

The role emphasizes production‑grade data and AI pipelines, Lakehouse architectures, and cost‑aware optimization using PySpark, Python, and BigQuery.

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.

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 engineering

Data platforms

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Apache Iceberg

dbt

Spark

Knowledge Catalog

Job description

Google LLC in Austin, Texas is seeking an Agentic Data Cloud Customer Engineer III to lead pre‑sales technical strategy for data platforms, AI pipelines, and enterprise migrations to Google Cloud. You will work with sales to map complex data estates and demonstrate end‑to‑end solutions for executives and developers.

The role emphasizes production‑grade data and AI pipelines, Lakehouse architectures, and cost‑aware optimization using PySpark, Python, and BigQuery.