Oracle Database Engineer- 7+ yrs- New York, United States- Onsite

Job SummaryWe are seeking an experienced Database Engineer specializing in Oracle AutonomousDatabase (ADB) and Google Cloud Platform (Google Cloud Platform) to lead the core data-layer architecture foran AI-driven, industry-focused demo platform. In this role, you will be responsible forprovisioning, configuring, and securing an Oracle Database@Google Cloud instance with anAutonomous AI Database topology. You will design relational schemas across multipleindustries, generate representative synthetic datasets, enforce rigorous schema-level dataisolation, and integrate least-privilege credentials with the Oracle AI Database Agent.Key Responsibilities1. Infrastructure & Autonomous Database Provisioning (WS3)? Provision, manage, and configure the Oracle Database@Google Cloud (ODB@Google Cloud Platform)environment and the target Autonomous AI Database (ADB) instance within a singleGoogle Cloud Platform project.? Implement a cost-efficient single-ADB database topology housing four isolated industryschemas: Financial, Healthcare, Manufacturing, and Retail.? Create least-privilege, schema-scoped database users and credentials for each agentinstance to ensure absolute data-layer isolation.? Size and tune ADB ECPU auto-scaling and compute headroom to handle live summitbooth 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 producerealistic, non-PII synthetic datasets.? Load and seed initial datasets into each industry schema (~50–500 rows per dimensiontable; ~10,000–100,000 rows per fact table).? Validate data quality, structural integrity, and schema coverage to supportNatural-Language-to-SQL (NL?SQL) queries.3. Agent Integration & Security (WS5 & WS9)? Work closely with the Cloud and AI engineering teams to bind distinct, schema-scopeddatabase credentials to multiple Oracle AI Database Agent instances.? Fine-tune prompt execution, schema metadata, and agent configurations to ensureaccurate NL?SQL generation against target schemas.? Execute per-agent smoke testing and end-to-end validation (Question ? SQL ? Resultexecution).