Senior Principal Data Engineer, CSS SaaS and Apps Delivery - Analytics

Oracle CSS is seeking a highly skilled Data Engineer to support enterprise customers adopting Oracle AI Data Platform . In this role, you will design, implement, support, and operationalize advanced, cloud-native data architectures that enable high-performance analytics, Generative AI, and machine learning at scale. You will maintain scalable, secure, and high-performance data solutions that support industry-specific workflows across global customers. You will be supporting data integration, transformation, and delivery process. You will design, implement, and optimize data pipelines. Partnering with data architects, you will support data models and architecture (Medalion architecture) while enforcing the highest standards of quality, governance, and security. Your cloud-native data services and ETL/ELT experience will ensure high-quality data flows that drive intelligent, industry-specific outcomes.

• Design, implement, and support end-to-end data ingestion, transformation, and orchestration pipelines leveraging:
  • OCI Data Lakehouse Services: Object Storage, Lakehouse, Autonomous Data Warehouse
  • Real-Time Data Movement: Oracle GoldenGate, OCI Streaming, Kafka-compatible services
  • Data Integration & Orchestration: OCI Data Integration, Data Flow (Apache Spark), Data Catalog, OCI Data Science integration
• Implement and support distributed data processing patterns including ELT, event-driven streaming, and micro-batch frameworks
• Apply advanced performance engineering techniques for partitioning, indexing, caching, and adaptive query optimization
• Design secure and compliant data environments integrating IAM, Vault, KMS, VCN security, and data governance standards
• Enable model-ready datasets using feature engineering pipelines, metadata standardization, and lineage automation
• Perform troubleshooting and root cause analysis on pipeline failures, optimize pipeline SLAs, and ensure observability via OCI Logging & Monitoring
• Collaborate with customer architects and Oracle product teams to accelerate adoption of AI-powered data capabilities
• Understands how to handle large blobs of time series data
• Can write batch process code in Python, understands dataframes