Principal Data Modeling Engineer

Oracle Analytics is used by customers across the world to discover deep insights about their business, improve collaboration around a single view by securely including all relevant data, and increase agility by quickly spotting patterns and powering data-driven decisions with AI and machine learning.

Oracle Fusion Data Intelligence platform (FDI) is the next generation of Oracle Fusion Analytics Warehouse built for Oracle Fusion Cloud Applications, bringing together business data, ready-to-use analytics, and prebuilt AI and machine learning (ML) models to deliver deeper insights and accelerate the decision-making process into actionable results. The backbone of FDI is the lights-out data pipeline that manages the data warehouse for all the customers.

As a Principal Data Modeling Engineer, you will:

• Learn Business/functional requirements from Product Managers/Subject Matter Experts and analyze data sufficiency
• Design/implement data models and pipelines to power reporting/analytics/ML-models
• Own the quality of the deliverable, design/develop unit/integration tests and collaborate with QA counterparts
• Debug/analyze data issues and take data debugging into consideration as part of design
• Monitor and learn from current deployment statistics/customer feedback and advances of underlying platform to identify potential improvements
• Learn about prior art, competitive offering, new technologies and influence the features of underlying platform
• Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow

This position is onsite/hybrid in our Pleasanton, CA office - remote option is not available for this role.