Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Applied Solutions Architect, Data and AI role.
Rezi rewrites your resume against Google's job description. Free.
Tailor your resume to this Applied Solutions Architect, Data and AI role.
Rezi rewrites your resume against Google's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Applied Solutions Architect, Data and AI posting at Google — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Applied Solutions Architect, Data and AI posting at Google — free, in seconds.
About the Role
The Google Forge Team partners with strategic customers to bring their transformative goals to life. In this role, you will lead the end-to-end architectural design and engineering of next-generation agentic data platforms, unifying operational and analytical data estates, open multimodal lakehouses, semantic knowledge catalogs, and graph reasoning to ground and scale autonomous AI agents. You will play a key leadership role in driving solutions from initial architecture through enterprise security, governance, and production readiness, while mentoring team members and shaping the strategic direction of our reusable engineering assets.
Responsibilities
- Lead the design, development, and iterative refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP), showcasing the potential of data and AI to address specific business needs.
- Collaborate closely with customers to understand their business challenges, technical requirements, and strategic objectives. Build strong, trusted relationships with customers and stakeholders.
- Mentor and guide junior team members, fostering a culture of innovation and continuous learning.
- Establish and promote innovative best practices and methodologies for data-motivated solutions, actively contributing to industry thought leadership through publications, presentations, and community engagement.
Requirements
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 10 years of experience in cloud computing, with a focus on data architecture, data analytics, and data engineering.
- Experience in programming/scripting languages (e.g., Python, Spark), and developing and deploying data solutions.
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
- 10 years of experience architecting and delivering large-scale distributed data platforms, cloud-native software, and AI-driven systems in a customer-facing engineering, principal architecture, or technical consulting role.
- Experience designing property/knowledge graphs (GQL, Cypher, RDF/OWL), enterprise semantic catalogs, or multimodal data pipelines that process and index unstructured data alongside tabular data.
- Real-world experience taking data and AI systems through enterprise InfoSec and governance sign-off into production, implementing automated LLM/agent evaluation harnesses, semantic caching, and compute/query optimization for high-concurrency workloads.
- Proven track record of owning multi-stakeholder technical transformations, quantifying architectural trade-offs and building consensus with executives.
Skills
- Cloud computing
- Data architecture
- Data analytics
- Data engineering
- Python
- Spark
- Vector databases
- RAG-like architectures
- Property/knowledge graphs (GQL, Cypher, RDF/OWL)
- Enterprise semantic catalogs
- Multimodal data pipelines
- LLM/agent evaluation harnesses
- Semantic caching
- Compute/query optimization
Experience Level
- 10 years of experience
Education Level
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
About the Company
- When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally.
- Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative.
- You listen and deliver what is most helpful for the customer.
- You assist fellow sales Googlers by problem-solving key technical issues for our customers.
- You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
- Google Cloud accelerates every organization’s ability to digitally transform its business and industry.
- We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.
- Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.