We are seeking an experienced **Database Engineer** specializing in **Oracle Autonomous Database (ADB)** and **Google Cloud Platform (Google Cloud Platform)** to lead the core data-layer architecture for an **AI-driven, industry-focused demo platform**. In this role, you will be responsible for provisioning, configuring, and securing an **Oracle Database@Google Cloud** instance with an **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@Google Cloud Platform)** environment and the target **Autonomous AI Database (ADB)** instance within a single Google Cloud Platform 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 (NL→SQL)** 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 **NL→SQL generation** against target schemas.
* Execute per-agent smoke testing and end-to-end validation (**Question → SQL → Result execution**).
* Partner with QA to execute cross-industry isolation testing, ensuring schema-scoped credentials prevent cross-domain data reachability.
# Required Qualifications & Experience
* **Core Database Expertise:** 5+ years of hands-on experience as an **Oracle Database Administrator or Database Engineer**, with specific experience managing **Oracle Autonomous Database (ADB)**.
* **Cloud Infrastructure:** Strong familiarity with **Google Cloud Platform (Google Cloud Platform)** and multi-cloud database paradigms, specifically **Oracle Database@Google Cloud (ODB@Google Cloud Platform)**.
* **Data Modeling & SQL:** Proficiency in relational database design, schema scoping, SQL query optimization, and programmatic synthetic data generation using **Python, PL/SQL, or data synthesis tools**.
* **Security & Isolation:** Proven experience implementing **least-privilege IAM**, database user creation, role-based access control, and schema-level data isolation.
* **Integration Experience:** Practical understanding of **AI/ML database agent integrations**, metadata indexing, or **Natural-Language-to-SQL engines**.
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