Senior Data & AI Cloud Architect

Oracle; Buenos Aires; On-site; ARS 136,430,000 - 181,906,000; Full time

Job summary

Oracle Argentina is seeking a senior data engineer to design and implement data platforms spanning ingestion, storage, processing, and analytics for enterprise-scale needs. You will lead data architecture discussions with clients and internal teams, shaping OCI-based solutions and multi-cloud strategies to drive business outcomes.

You will build robust production-ready pipelines, guide deployments to production, and mentor less experienced engineers.

Qualifications

• 8+ years of experience in data engineering, data architecture, or related roles.
• Hands-on design of enterprise data platforms that scale, recover from failures and operate reliably in production.
• Practical knowledge of distributed processing and modern analytics architectures.
• Experience with Spark, Databricks, Snowflake, BigQuery, or cloud data services.
• Ability to connect architecture decisions to business outcomes and explain trade-offs to different audiences.
• Experience working directly with customers from discovery through delivery.
• Experience with OCI and multicloud architectures is a plus.

Responsibilities

• 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.

Skills

Data engineering

Data architecture

Distributed processing

Cloud data platforms

Stakeholder engagement

OCI / Multicloud

Production operations

Tools

Spark

Databricks

Snowflake

BigQuery

OCI

Job description

Oracle Argentina is seeking a senior data engineer to design and implement data platforms spanning ingestion, storage, processing, and analytics for enterprise-scale needs. You will lead data architecture discussions with clients and internal teams, shaping OCI-based solutions and multi-cloud strategies to drive business outcomes.

You will build robust production-ready pipelines, guide deployments to production, and mentor less experienced engineers.