Job Summary

We are seeking an experienced Database Engineer specializing in Oracle Autonomous

Database (ADB) and Google Cloud Platform (GCP) to lead the core data-layer architecture for

an AI-driven, industry-focused demo platform. In this role, you will be responsible for



Autonomous AI Database topology. You will design relational schemas across multiple

industries, generate representative synthetic datasets, enforce rigorous schema-level data

isolation, and integrate least-privilege credentials with the Oracle AI Database Agent.

Key Responsibilities

1. Infrastructure & Autonomous Database Provisioning (WS3)
• Provision, manage, and configure the Oracle Database@Google Cloud (ODB@GCP)

environment and the target Autonomous AI Database (ADB) instance within a single

GCP project.
• Implement a cost-efficient single-ADB database topology housing four isolated industry

schemas: Financial, Healthcare, Manufacturing, and Retail.
• Create least-privilege, schema-scoped database users and credentials for each agent

instance to ensure absolute data-layer isolation.
• Size and tune ADB ECPU auto-scaling and compute headroom to handle live summit

booth concurrency and load.

2. Data Modeling & Curation (WS4 & WS10)
• Design robust relational data models tailored to the four synthetic industry domains.
• Build, test, and execute reusable programmatic data generation scripts to produce

realistic, non-PII synthetic datasets.
• Load and seed initial datasets into each industry schema (50-500 rows per dimension

table; 10,000-100,000 rows per fact table).
• Validate data quality, structural integrity, and schema coverage to support

Natural-Language-to-SQL (NLSQL) queries.

3. Agent Integration & Security (WS5 & WS9)
• Work closely with the Cloud and AI engineering teams to bind distinct, schema-scoped

database credentials to multiple Oracle AI Database Agent instances.
• Fine-tune prompt execution, schema metadata, and agent configurations to ensure

accurate NLSQL generation against target schemas.
• Execute per-agent smoke testing and end-to-end validation (Question  SQL  Result

execution).