Senior Data & AI Solutions Architect, Cloud Platforms

Google LLC

Sydney

On-site

AUD 180,000 - 240,000

Full time

4 days ago
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Job summary

Google is seeking an Applied Solutions Architect, Data and AI to lead the design and integration of data-centric and AI-powered solutions on Google Cloud Platform. You will collaborate with customers to translate business challenges into scalable data architectures and AI capabilities, while mentoring engineers and advancing enterprise data solutions.

You will drive governance, security sign-off, and production readiness, influencing reusable engineering assets and strategic direction across

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 10 years of cloud computing experience with data architecture, analytics and engineering.
  • Experience in programming/scripting languages (e.g., Python, Spark).
  • Experience building data pipelines for structured and unstructured data with vector databases and RAG-like architectures.

Responsibilities

  • Lead design and engineering of data-centric and AI-powered solutions on Google Cloud Platform (GCP).
  • Collaborate with customers to understand business challenges and establish trusted relationships.
  • Mentor junior team members and foster a culture of innovation and learning.
  • Promote best practices and contribute to industry thought leadership through publications and talks.

Skills

Cloud computing
Data architecture
Data analytics
Data engineering
Python
Spark
Vector databases
RAG-like architectures
Knowledge graphs
GQL
Cypher
RDF/OWL
InfoSec governance
LLM evaluation harnesses
Semantic caching
Compute/query optimization

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Platform (GCP)

Job description

Google is seeking an Applied Solutions Architect, Data and AI to lead the design and integration of data-centric and AI-powered solutions on Google Cloud Platform. You will collaborate with customers to translate business challenges into scalable data architectures and AI capabilities, while mentoring engineers and advancing enterprise data solutions.

You will drive governance, security sign-off, and production readiness, influencing reusable engineering assets and strategic direction across

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