Remote Client-Facing Data & AI Cloud Architect

Fullstack; Quilmes; Remote; ARS 107,614,000 - 153,735,000; Full time

Job summary

Fullstack is seeking a Senior Data and Artificial Intelligence professional to design data platforms, pipelines, and analytics architectures on Oracle Cloud. You will partner with customers to translate data challenges into scalable, reliable solutions that drive cloud adoption.

You will lead discussions, demonstrations, and proofs of concept, working with customers from discovery to production, and design for secure, cost-effective, and resilient data architectures.

Qualifications

• 8+ years of experience in data engineering, data architecture, or related roles.
• Hands-on experience designing enterprise data platforms that scale and operate reliably in production.
• Experience with distributed processing, data integration, and modern analytics architectures.
• Experience with Spark, Databricks, Snowflake, BigQuery, or cloud data services.

Responsibilities

• Discover customer's data challenges and define success criteria.
• Design data platforms for integration, storage, processing, and analytics.
• Recommend data lake, lakehouse, or data warehouse approaches.
• Design batch and real-time pipelines with ETL/ELT and cross-platform integration.
• Advise on architecture trade-offs for security, governance, performance, and cost.
• Ensure reliable operation with monitoring and failure recovery.
• Lead technical discussions, demos, and proofs of concept; drive production adoption.
• Collaborate with customer and Oracle teams to resolve integration challenges.

Skills

Data engineering

Data architecture

Distributed processing

Data integration

Modern analytics

Tools

Spark

Databricks

Snowflake

BigQuery

OCI

Job description

Fullstack is seeking a Senior Data and Artificial Intelligence professional to design data platforms, pipelines, and analytics architectures on Oracle Cloud. You will partner with customers to translate data challenges into scalable, reliable solutions that drive cloud adoption.

You will lead discussions, demonstrations, and proofs of concept, working with customers from discovery to production, and design for secure, cost-effective, and resilient data architectures.