Senior AI-Native Cloud Data Architect

Fullstack; Quilmes; Remote; ARS 185,448,000 - 278,173,000; Full time

Job summary

Fullstack is seeking a Senior Data and Artificial Intelligence - Cloud Solution to partner with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems.

You’ll discover data challenges, design platforms for integration, storage, processing and analytics, and recommend data lake, lakehouse or data warehouse approaches. You’ll lead technical discussions and help production deployment.

Qualifications

• 8+ years of experience in data engineering or data architecture.
• 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.

Responsibilities

• 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, demonstrations, and proofs of concept for production deployment.
• Collaborate with customers and Oracle teams to resolve integration and operational challenges.
• Build data foundations for analytics, machine learning, and generative AI use cases.

Skills

Data engineering

Data architecture

Cloud architecture

Customer engagement

Tools

Spark

Databricks

Snowflake

BigQuery

OCI

Job description

Fullstack is seeking a Senior Data and Artificial Intelligence - Cloud Solution to partner with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems.

You’ll discover data challenges, design platforms for integration, storage, processing and analytics, and recommend data lake, lakehouse or data warehouse approaches. You’ll lead technical discussions and help production deployment.