Senior Engineer – Data Platforms & Artificial Intelligence

Location: Ciudad Autónoma de Buenos Aires, Argentina

Partners with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems. Drives Oracle Cloud customer consumption by accelerating the adoption of Oracle cloud services including discovery, design and deployment.

About Us

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration 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. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Experiencia en plataformas de datos: Databricks, Snowflake, BigQuery, Spark. * Experiencia en arquitecturas y servicios Cloud (OCI, AWS, Azure o GCP). * Conocimiento en procesamiento y explotación de datos a gran escala. * Experiencia aplicando IA, Machine Learning y LLMs sobre plataformas de datos. * Manejo de pipelines ETL/ELT y soluciones analíticas modernas. * Experiencia en RAG, vector databases y fine-tuning de modelos.