Remote Client-Facing Ai Engineer (Typescript)

Fullstack; Buenos Aires; Remote; ARS 3,000,000 - 6,000,000; Full time

Job summary

Fullstack is seeking a Senior Data and Artificial Intelligence professional to partner with customers, sales, and engineering to design, demonstrate, and deploy Oracle Cloud architectures that address business problems. You will drive consumption by accelerating the adoption of Oracle cloud services through discovery, design, and deployment.

The role involves discovering data challenges, designing scalable data platforms, and leading technical discussions to bring validated solutions into

Qualifications

• 8+ years of experience in data engineering, data architecture, or related roles, with hands-on enterprise data platforms
• Practical knowledge of distributed processing, data integration, and modern analytics architectures
• Experience with Spark, Databricks, Snowflake, BigQuery, or cloud data services

Responsibilities

• Discover customers' data challenges, priorities, and success criteria.
• Design data platforms for integration, storage, processing, and analytics.
• Recommend data lake, lakehouse, or data warehouse approaches based on customer needs.
• Design batch and real-time pipelines, including ETL/ELT across platforms.
• Evaluate architecture trade-offs for security, governance, performance, and cost.
• Ensure reliable operation with monitoring and failure recovery capabilities.
• Lead technical discussions, demos, and proofs of concepts with customers.
• Collaborate with customers and internal teams to resolve integration challenges.
• Build data foundations for analytics, ML, and generative AI use cases when relevant.

Skills

Data engineering

Data architecture

Distributed processing

Spark

Databricks

Snowflake

BigQuery

OCI

Multicloud

Tools

Databricks

Snowflake

BigQuery

OCI

Job description

Senior Data and Artificial Intelligence - Cloud Solution

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.

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 delivery.
• Experience with OCI and multicloud architectures is a plus.

If you enjoy understanding what customers need, navigating complex data environments, and helping teams put reliable solutions into production, we’d like to hear from you.