Enterprise Data & AI Engineer — Frontier GenAI

re-zoo-me; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Google Cloud is building frontier models and enterprise data platforms. As a Forward Deployed Engineer (Data and AI), you will work with massive data lakes, warehouses, and transactional systems in production, embedding with the engineering and data architecture organizations of the largest customers to deploy Google's AI stack from architecture to production-grade workflows.

You will identify and fix bottlenecks in Text-to-SQL and data intelligence workflows, design scalable data systems, and

Qualifications

• Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• 5 years of experience with software development and data engineering with SQL, Python, Java, Scala, or Go.
• Experience with ETL/ELT frameworks (e.g., dbt, Dataform) and designing enterprise data modeling layers or data marts.

Responsibilities

• Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows that drive measurable ROI.
• Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
• Design and build high-throughput batch and streaming data pipelines and utilities to curate multi-terabyte evaluation datasets and execute offline/online evaluation generation jobs for model intelligence mining.
• Construct scalable ETL/ELT pipelines using Dataform, dbt, BigQuery, or Dataproc to design enterprise data marts and semantic modeling layers specifically engineered to maximize data quality, schema clarity, and accuracy for Text-to-SQL and natural language analytical interfaces.
• Create mechanisms for large-scale synthetic data generation that maintain strict referential integrity across complex relational schemas, leveraging advanced tools and custom generative utilities for privacy-safe model benchmarking and fine-tuning.

Skills

Software development

Data engineering

SQL

Python

Java

Scala/Go

Education

Bachelor's degree

Master's or PhD (preferred)

Tools

dbt

Dataform

BigQuery

Dataproc

Job description

Google Cloud is building frontier models and enterprise data platforms. As a Forward Deployed Engineer (Data and AI), you will work with massive data lakes, warehouses, and transactional systems in production, embedding with the engineering and data architecture organizations of the largest customers to deploy Google's AI stack from architecture to production-grade workflows.

You will identify and fix bottlenecks in Text-to-SQL and data intelligence workflows, design scalable data systems, and