Senior Enterprise Cloud Data & AI Architect

Coderio; Quilmes; On-site; ARS 4,000,000 - 7,000,000; Full time

Job summary

Coderio is seeking a Senior Data and Artificial Intelligence - Cloud Solution expert to design and deploy Oracle Cloud architectures. You will partner with customers, sales, engineering and product teams to deliver scalable data platforms for analytics, ML and AI use cases.

Responsibilities include designing data pipelines, recommending lakehouse/data warehouse approaches, and ensuring reliable operation and long-term adoption across complex environments.

Qualifications

• 8+ years of experience in data engineering or data architecture, delivering scalable enterprise data platforms.
• Experience designing production-grade data pipelines and analytics architectures.
• Hands-on experience with Spark, Databricks, Snowflake, or BigQuery.
• Ability to articulate architecture trade-offs to business stakeholders.
• Experience working directly with customers from discovery to delivery.

Responsibilities

• Partner with customers, sales, engineering and product teams to design Oracle Cloud architectures.
• Design data platforms for integration, storage, processing and analytics.
• Recommend data lake, lakehouse or data warehouse approaches based on needs.
• Design batch and real-time pipelines, including ETL/ELT and cross-platform integration.
• Lead technical discussions, demos and proofs of concept for production adoption.
• Build reliable operation with monitoring, failure recovery and scalable design.
• Support long-term adoption and resolve integration/operational challenges.
• Establish data foundations for analytics, ML and generative AI use cases when relevant.

Skills

Data architecture

Data engineering

Distributed processing

Cloud data services

Stakeholder communication

Tools

Spark

Databricks

Snowflake

BigQuery

OCI

Job description

Coderio is seeking a Senior Data and Artificial Intelligence - Cloud Solution expert to design and deploy Oracle Cloud architectures. You will partner with customers, sales, engineering and product teams to deliver scalable data platforms for analytics, ML and AI use cases.

Responsibilities include designing data pipelines, recommending lakehouse/data warehouse approaches, and ensuring reliable operation and long-term adoption across complex environments.