Applied Solutions Architect, Google Forge, Data

Google; Singapore; À distance; SGD 180 000 - 300 000; Plein temps

Résumé du poste

Google LLC is seeking an Applied Solutions Architect for Google Forge, Data in Singapore. You will lead end-to-end data-centric and AI-powered solution design on Google Cloud, collaborating with customers to translate business challenges into scalable data architectures.

You will mentor engineers and drive governance and production readiness across multi-stakeholder initiatives. Ideal candidates have 10+ years in cloud data, strong knowledge of data pipelines, knowledge graphs, and enterprise AI

Qualifications

• Bachelor's degree in Computer Science or related field or equivalent practical experience.
• 10+ years in cloud computing, data architecture, analytics and engineering.
• Experience programming with Python and Spark; building data solutions.

Responsabilités

• Lead design and deployment of data-centric and AI-powered solutions on Google Cloud.
• Collaborate with customers to define requirements and establish trusted relationships.
• Mentor team members and promote best practices in data and AI engineering.
• Drive architectural decisions and communicate trade-offs to executives.

Connaissances

Cloud architecture

Data engineering

Data analytics

Python

Vector databases

RAG architectures

Enterprise AI

Formation

Bachelor's degree in CS

Outils

GCP

Spark

Kubernetes

Cypher

RDF/OWL

Description du poste

Applied Solutions Architect, Google Forge, Data

info_outline

info_outline X 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.

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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.