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.

Responsibilities
What you’ll do
• Discover customer's data challenges, priorities, growth expectations, and success criteria.
• Design data platforms for integration, storage, processing, and analytics.
• Recommend data lake, lakehouse, or data warehouse approaches based on each customer’s needs and existing environment.
• Design batch and real-time pipelines, including ETL/ELT and integration across platforms.
• Help customers make informed architecture trade-offs across security, data governance, performance, scalability, resilience, operational needs, and cost.
• Design for reliable operation, including monitoring, failure recovery, and the ability to adapt as demand grows.
• Lead technical discussions, demonstrations, and proofs of concept,



and help customers bring validated solutions into production.
• Work with customer and internal teams to resolve integration and operational challenges and support long-term adoption.
• Build the data foundation for analytics, machine learning, and generative AI use cases when relevant.

What we’re looking for
• 8+ years of experience in data engineering, data architecture, or related roles, including hands-on experience designing enterprise data platforms that scale with demand, recover from failures, and operate reliably in production.
• Practical knowledge of distributed processing, data integration, and modern analytics architectures.
• Experience with technologies such as Spark, Databricks, Snowflake, BigQuery, or cloud data services.
• The ability to connect architecture decisions to business outcomes and explain trade-offs to different audiences.
• Experience working directly with customers from discovery through deliver

📌 Senior Data and Artificial Intelligence (Buenos Aires)
🏢 Oracle
📍 Buenos Aires