Applied Solutions Architect, Google Forge, Data

Google LLC; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Google LLC in Singapore seeks an Applied Solutions Architect for Google Forge, Data to design and deliver data-centric AI solutions on Google Cloud Platform. You will work closely with customers to understand challenges, craft scalable architectures, and guide deployments across enterprise environments.

The role involves mentoring teammates, shaping engineering practices, and driving governance, security, and production readiness for scalable data platforms.

Qualifications

• Bachelor's degree in Computer Science or related field.
• 10 years of cloud computing experience focusing on data architecture, data analytics, and data engineering.
• Experience with Python or Spark and developing data solutions.
• Experience building data pipelines using vector databases and RAG-like architectures for enterprise AI solutions.

Responsibilities

• Lead design, development, and refinement of data-centric and AI-powered solutions on Google Cloud Platform (GCP).
• Collaborate with customers to understand business challenges and build trusted relationships with stakeholders.
• Mentor junior team members and promote a culture of innovation.
• Establish best practices for data-motivated solutions and contribute to industry thought leadership.

Skills

Data architecture

Cloud computing

Python/Spark

Data pipelines

Education

Bachelor's degree in CS or related field

Tools

Google Cloud Platform (GCP)

Job description

Applied Solutions Architect, Google Forge, Data

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

Minimum qualifications:

• 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.

Preferred qualifications:

• 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.

About the job

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.

The Google Forge Team partners with our most strategic customers to bring their transformative goals to life. In the agentic era, enterprise data architectures must evolve from passive Systems of Intelligence built for human-scale reporting into active, governed "Systems of Action" engineered for agent-scale autonomy.

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.

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. 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.