Principal Database Engineer

As a Senior Database Engineer (IC4) within the SaaS Tools and Innovation (TINNO) team at Oracle, your role will involve designing, building, and operating systems that support SaaS license usage measurement, renewals insights, adoption tracking, and reporting. Your contributions will directly impact Oracle's SaaS ecosystem by enabling actionable insights that drive renewals, customer success, and long-term product growth. **Key Responsibilities:** - Translate business and product requirements into scalable, production-ready solutions across multiple Oracle SaaS applications. - Design and optimize systems using Oracle Database (SQL, PL/SQL) to meet performance requirements. - Develop ETL and streaming pipelines with multiple data sources for efficient data processing. - Deploy ML models and Generative AI solutions into production systems to enhance functionalities. - Utilize programming skills in Python or Java for integration, automation, and ML/AI workflows. - Work with distributed systems and cloud-native platforms (OCI, AWS, Azure) to ensure seamless operations. - Debug, optimize, and monitor complex cross-layer systems to maintain system health. - Collaborate effectively with cross-functional teams to align technical outcomes with business needs. **Qualifications:** - Minimum 8 years of professional experience in database engineering, data integration, and applied AI/ML. - Proficiency in Oracle Database (SQL, PL/SQL) with a track record of designing and optimizing systems. - Strong background in data engineering, including the development of ETL and streaming pipelines. - Hands-on experience deploying ML models and Generative AI solutions in production environments. - Proficient in Python or Java for integration, automation, and ML/AI workflows. - Familiarity with distributed systems and cloud-native platforms (OCI, AWS, Azure). - Ability to debug, optimize, and monitor complex cross-layer systems effectively. - Excellent communication and collaboration skills to ensure technical outcomes meet business requirements. **Nice to Have:** - Experience in building APIs or services to expose ML/AI insights to applications. - Familiarity with cloud-native AI/ML platforms (OCI AI/ML, AWS SageMaker, Azure ML). - Contributions to automation, observability, or operational efficiency in SaaS or enterprise-scale systems. - Experience integrating solutions across multiple Oracle SaaS or enterprise applications. You will play a crucial role in enhancing Oracle's SaaS ecosystem by leveraging your expertise in database engineering, data integration, and AI/ML to drive actionable insights and support long-term product growth.,