Senior Data Analytics Engineer – Cloud AI & Data Platform

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

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

Google Cloud invites a Practice Customer Engineer specializing in Agentic Data Cloud to partner with Sales Specialists, differentiating Google Cloud and positioning the data platform as the foundation for enterprise-grade Agentic workflows.

You will be the technical authority accelerating wins, removing blockers, and building production-grade prototypes and Minimum Viable Products. Expert data tooling, real-time analytics, and AI-driven solutions are central to this role.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with Big Data technologies or concepts (analytics warehousing, data processing, governance, ETL/ELT, SQL, Spark).
• Experience using programming languages (e.g., Python, Spark, SQL) to demo or prototype for customers.
• Experience presenting to technical stakeholders and executives on cataloging, access controls, and data lineage for AI and agentic applications.

Responsibilities

• Drive the technical win for complex workloads within Data Analytics to ensure rapid adoption, supporting the sales cycle.
• Combine sales strategies with development and prototyping to deliver customer-tailored solutions.
• Provide critical feedback to Product and Engineering to improve architectures and drive feature requests.
• Help customers leverage unified data foundations to power real-time, AI-driven experiences.

Skills

Cloud native architecture

Big Data technologies

Python

SQL

Spark

Executive presentations

Education

Bachelor's degree or equivalent practical experience

Tools

BigQuery

Knowledge Catalog

Job description

Google Cloud invites a Practice Customer Engineer specializing in Agentic Data Cloud to partner with Sales Specialists, differentiating Google Cloud and positioning the data platform as the foundation for enterprise-grade Agentic workflows.

You will be the technical authority accelerating wins, removing blockers, and building production-grade prototypes and Minimum Viable Products. Expert data tooling, real-time analytics, and AI-driven solutions are central to this role.