Senior Agentic AI Engineer - Secure Enterprise AI Apps

BairesDev; Buenos Aires; A distancia; ARS 136.310.000 - 181.747.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Work from anywhere

Earn in USD

Paid time off

International certifications

Coworking spaces

English improvement

Referral program

Descripción de la vacante

Pearster is seeking a Senior Data and Artificial Intelligence professional to design, build, and deploy data architectures for Oracle Cloud deployments. You will partner with customers, sales, engineering, and product teams to translate data challenges into scalable, production-ready solutions.

The role emphasizes hands-on data engineering, architecture design, and multi-cloud considerations, with a strong focus on reliability, security, and cost efficiency.

Formación

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

Responsabilidades

• 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 customer needs.
• Design batch and real-time pipelines, including ETL/ELT and integration across platforms.
• Assist customers in architecture trade-offs across security, governance, performance, scalability, resilience, and cost.
• Design for reliable operation with monitoring and failure recovery.
• Lead technical discussions, demos, and proofs of concept to production.
• Collaborate with client and internal teams to resolve integration and operational challenges.

Conocimientos

Data engineering

Data architecture

Distributed processing

ETL/ELT

Cloud data services

Spark/Databricks

Snowflake

BigQuery

OCI/multicloud

Customer engagement

Herramientas

Spark

Databricks

Snowflake

BigQuery

OCI

Descripción del empleo

Pearster is seeking a Senior Data and Artificial Intelligence professional to design, build, and deploy data architectures for Oracle Cloud deployments. You will partner with customers, sales, engineering, and product teams to translate data challenges into scalable, production-ready solutions.

The role emphasizes hands-on data engineering, architecture design, and multi-cloud considerations, with a strong focus on reliability, security, and cost efficiency.