APAC Agentic Data Cloud Architect, Google Cloud

APAC Agentic Data Cloud Architect, Google Cloud Location: Singapore

Experience Level: Advanced

Job Summary

Google Cloud is seeking an APAC Agentic Data Cloud Architect to help customers transform their businesses with cloud technology. This role involves deep engagement with customers to design and accelerate the adoption of Google Cloud's unified Data Cloud and AI capabilities.

Minimum Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years of experience delivering data and analytics solutions in a customer-facing or support role.
• Experience in building and deploying enterprise Generative AI applications and agentic workflows integrated with modern data platforms.
• Experience in architecting distributed data systems (e.g., Lakehouse, Data Mesh), batch and streaming pipelines (e.g., Spark, Flink, BigQuery, Iceberg), and transactional databases (e.g., PostgreSQL, MySQL, NoSQL databases).
• Experience in cloud-native data warehousing, ETL/ELT pipelines, real-time event streaming, governance, and end-to-end migrations.
• Experience partnering with, influencing, and presenting architectures to executive leaders and technical stakeholders.

Preferred Qualifications

• Experience interacting with C-level executives (e.g., CTO, Chief Data Officer (CDO), Chief Information Officer (CIO)) to translate complex business requirements into technical strategies via simple, compelling narratives.
• Knowledge of emerging agentic technologies and their implications for data architecture.
• Proficiency in writing, refactoring, and debugging Python, PySpark, and SQL to support high-performance data engineering, ML frameworks (e.g., PyTorch, TensorFlow), and troubleshooting workloads.
• Technical expertise in designing distributed systems, data platforms, and AI/ML architectures for enterprise scale.

Responsibilities

• Serve as the primary technical partner to customer Chief Technology Officers (CTOs) and chief architects, leading high-stakes workshops to align their technology roadmap with Google's Data and AI strategy.
• Act as principal architect for Google's Agentic Data Cloud, setting engineering standards, winning complex workloads, and accelerating adoption across lighthouse engagements from evaluation to ramp.
• Capture repeatable patterns to build scalable Golden Path blueprints, reference architectures, and field-ready assets to drive broad adoption across thousands of customers.
• Synthesize customer friction points and cross-product gaps into authoritative engineering requirements to shape and protect Google's unified Data and AI narrative.
• Mentor and guide subregional Data Cloud Customer Engineers, remaining hands-on for critical architectures while directing the team to deliver secure, scalable solutions.

About Google Cloud The Google Cloud Platform team assists customers in transforming and building future-ready businesses with cloud technology. Our offerings are developed for security, reliability, and scalability across infrastructure, applications, and devices. We aim to help businesses of all sizes leverage technology to connect with their customers, employees, and partners.

Google Cloud operates as a customer-zero laboratory, working deeply with a select group of lighthouse customers to co-develop innovative solutions in real-world environments. We deliver enterprise-grade solutions utilizing Google's cutting-edge technology and tools to help developers build sustainably.

Equal Opportunity Employment Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that represents the users we serve, creating a culture of belonging, and providing equal employment opportunities 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 conditions, criminal histories consistent with legal requirements, or any other basis protected by law.

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