Senior Agentic Data Cloud Architect

Google Inc.

Singapore

On-site

SGD 220,000 - 380,000

Full time

4 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Google Inc. in Singapore is seeking a Senior Data Cloud Architect to guide customers in adopting Google Cloud’s unified Data Cloud and AI capabilities, shaping data and analytics strategies across large enterprises.

You will collaborate with customers to design scalable architectures and create repeatable assets for engineering teams. You will partner with CTOs and executives to translate complex requirements into practical data strategies, focusing on Lakehouse/Data Mesh, batch/streaming

Qualifications

Bachelor's degree or equivalent practical experience.
10 years of experience with 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.

Responsibilities

Serve as the primary technical partner to customer CTOs and chief architects, leading high-stakes workshops to align 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 through ramp.
Capture repeatable patterns to build scalable Golden Path blueprints, reference architectures, and field-ready assets that 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 Datacloud Customer Engineers, remaining experienced for critical architectures while directing the team to deliver secure, scalable solutions.