Über
Oracle AI Data Platform . In this pivotal role, you will design and implement advanced, cloud-native data architectures that facilitate high-performance analytics, Generative AI, and scalable machine learning. Your contributions will be key in maintaining robust, secure, and efficient data solutions tailored to specific industry workflows for a diverse range of global clients. You will oversee the data integration, transformation, and delivery process, as well as the design and optimization of data pipelines. Collaborating closely with data architects, you will support data models and architectural designs (Medalion architecture), while upholding stringent quality, governance, and security standards. Your cloud-native data services and ETL/ELT expertise will ensure seamless data flows that drive intelligent, industry-specific outcomes. Responsibilities Design, implement, and support comprehensive data ingestion, transformation, and orchestration pipelines using: 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 through feature engineering pipelines, metadata standardization, and lineage automation Troubleshoot and conduct root cause analysis on pipeline failures, optimizing pipeline SLAs, and ensuring observability using OCI Logging & Monitoring Collaborate with customer architects and Oracle product teams to accelerate the adoption of AI-enabled data capabilities Understand the management of large blobs of time-series data Write batch processing code in Python, with a good understanding of dataframes Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. The salary range for this role is between $96,800 and $223,400 per annum, with potential eligibility for bonuses and equity. Oracle offers a comprehensive benefits package, including: Medical, dental, and vision insurance Short-term and long-term disability Life insurance and AD&D Supplemental life insurance options Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match Flexible Vacation and accrued vacation 11 paid holidays Paid sick leave: 72 hours upon hire Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal services Voluntary benefits including auto, homeowner, and pet insurance This role will accept applications for at least three calendar days from the posting date or as long as the job remains posted. About Us As a leader in cloud solutions, Oracle leverages tomorrow's technology to address today's challenges. We are committed to growing an inclusive workforce that promotes equal opportunity. Join us and open the door to global opportunities where work-life balance flourishes. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law.
Sprachkenntnisse
- English
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