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Senior Principal Data Engineer - Analytics DeliveryOracleUnited States

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Senior Principal Data Engineer - Analytics Delivery

Oracle
  • US
    United States
  • US
    United States

About

Job Description Join Oracle CSS as a Senior Principal Data Engineer and play a crucial role in supporting enterprise customers utilizing the
Oracle AI Data Platform . You will be responsible for designing, implementing, supporting, and operationalizing cloud-native data architectures that facilitate high-performance analytics, Generative AI, and scalable machine learning solutions. Your expertise will help maintain secure, high-performance data environments tailored to industry-specific workflows for global clients. You will work on data integration, transformation, and delivery processes, designing and optimizing efficient data pipelines in collaboration with data architects. Responsibilities Design and implement comprehensive data ingestion, transformation, and orchestration pipelines using:
OCI Data Lakehouse Services: Object Storage, Lakehouse, Autonomous Data Warehouse.
Real-Time Data Movement with Oracle GoldenGate, OCI Streaming, and Kafka-compatible services.
Data Integration & Orchestration tools such as OCI Data Integration, Data Flow (Apache Spark), Data Catalog, and 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 effective data management.
Create secure environments that adhere to IAM, Vault, KMS, VCN security, and data governance standards.
Enable model-ready datasets with feature engineering, metadata standardization, and lineage automation.
Conduct troubleshooting and root cause analysis on pipeline failures, optimizing performance and ensuring observability.
Collaborate with customer architects and Oracle product teams to enhance the adoption of AI-powered data capabilities.
Handle large blobs of time series data effectively.
Write batch processing code in Python, leveraging dataframes for efficient data handling.
Disclaimer: Certain customer-facing roles may require compliance with applicable health mandates. Benefits:
Oracle offers a competitive salary range of $102,200 to $251,600 per annum and is committed to providing a comprehensive benefits package, including: Medical, dental, and vision insurance.
Short-term and long-term disability coverage.
Life insurance and AD&D.
Flexible Spending Accounts for healthcare.
401(k) plan with company match.
Generous vacation policy, including 11 paid holidays and paid sick leave.
Paid parental leave and adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal services.
Voluntary benefits like pet and homeowner insurance.
This position will generally accept applications for at least three calendar days from the posting date or until the position is filled. About Us At Oracle, we are at the forefront of data and AI innovation, committed to driving impactful solutions that improve lives worldwide. We believe in fostering a diverse workforce and offer flexible benefits to support our employees' well-being while actively encouraging community involvement.
  • United States

Languages

  • English
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