Remote Creative Designer & Ai Diagnostics Specialist

Yo Ai Labs; Quilmes; A distancia; ARS 181.747.000 - 272.620.000; Jornada completa

Descripción de la vacante

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

The role focuses on designing data platforms, data lakehouse/warehouse options, and real-time pipelines, while balancing security, governance, and cost.

Formación

• 8+ years of experience in data engineering or data architecture, with scalable production data platforms.
• Hands-on experience designing enterprise data platforms that scale and recover from failures.
• Proficiency with distributed processing and modern analytics architectures.
• Experience with Spark, Databricks, Snowflake, BigQuery, or cloud data services.
• Ability to tie architecture decisions to business outcomes and communicate trade-offs.

Responsabilidades

• Discover data challenges, priorities, growth expectations, and success criteria.
• Design data platforms for integration, storage, processing, and analytics.
• Recommend lakehouse/ data warehouse approaches per customer needs.
• Design batch and real-time pipelines, including ETL/ELT.
• Help customers balance security, governance, performance, scalability, and cost.
• Design for reliable operation with monitoring and recovery.
• Lead technical discussions, demos, and proofs of concept for production adoption.
• Collaborate with customers and internal teams to resolve integration issues.
• Build data foundations for analytics, ML, and generative AI use cases.

Conocimientos

Data engineering

Data architecture

Distributed processing

Data integration

Analytics architectures

Herramientas

Spark

Databricks

Snowflake

BigQuery

OCI

Descripción del empleo

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.

Qué harás

Comprender los desafíos de datos de cada cliente, sus prioridades de negocio, planes de crecimiento y criterios de éxito.

Qué buscamos

Más de 8 años de experiencia en ingeniería de datos, arquitectura de datos o funciones relacionadas, incluyendo experiencia práctica en el diseño de plataformas empresariales.

Role Type: Contractor

Location: Remote, Worldwide

Schedule: Flexible