Senior Data Architect
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Responsibilities
- Lead architecture and delivery of enterprise Oracle AI Data Platform transformations, including platform implementations and migrations.
- Design and build scalable, governed, AI-ready data architectures, software components, and services for data consolidation, integration, transformation, and data products.
- Develop Lakehouse, Medallion, streaming, and real-time analytics solutions on OCI using technologies such as Spark, PySpark, Delta Lake, Parquet, Flink, and distributed-systems patterns.
- Build AI/ML and Generative AI data pipelines, including feature engineering, feature extraction, MLOps workflows, and vector-ready datasets.
- Assess and modernize workloads by refactoring PySpark and ETL code and optimizing Spark configuration, cluster sizing, partitioning, memory, adaptive query execution, reliability, and performance at scale.
- Develop APIs, SDKs, web applications, and automation frameworks that simplify adoption of Oracle AI Data Platform and Generative AI services.
- Create reusable migration accelerators, reference architectures, automation frameworks, and delivery methodologies.
- Collaborate with engineering, product, and field teams to solve complex technical challenges; share customer insights to inform product roadmaps.
- Serve as a trusted technical advisor throughout customer engagements.
- Mentor senior engineers globally, promote engineering excellence across CSS, and continuously evaluate emerging AI, cloud, and data-engineering practices.
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