Senior Data & AI Cloud Engineer

Nimble; Buenos Aires; Remote; ARS 400,000 - 700,000; Full time

Job summary

Nimble seeks a Senior Data and AI Cloud Solution professional to partner with customers, sales, engineering and product teams to design, demonstrate and deploy data cloud architectures that address customer business problems using Oracle Cloud.

You will lead technical discussions, design data platforms, pipelines and analytics solutions, and help customers adopt OCI and multicloud architectures, ensuring reliable production readiness and measurable business outcomes.

Qualifications

• 8+ years of experience in data engineering, data architecture, or related roles.
• Experience designing enterprise data platforms that scale, recover from failures, and run reliably in production.
• Distributed processing, data integration, and modern analytics architectures familiarity.
• Experience with Spark, Databricks, Snowflake, BigQuery or cloud data services.
• Ability to connect architecture decisions to business outcomes and explain trade-offs to stakeholders.

Responsibilities

• Discover customers' 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 needs.
• Design batch and real-time pipelines, ETL/ELT, and platform integration.
• Assess security, data governance, performance, scalability, resilience, and cost trade-offs.
• Ensure reliable operation with monitoring, failure recovery, and production readiness.
• Lead technical discussions, demos, and proofs of concept with customers.

Skills

Data engineering

Data architecture

Cloud architectures

Client communication

Multicloud

Tools

Spark

Databricks

Snowflake

BigQuery

OCI

Job description

Nimble seeks a Senior Data and AI Cloud Solution professional to partner with customers, sales, engineering and product teams to design, demonstrate and deploy data cloud architectures that address customer business problems using Oracle Cloud.

You will lead technical discussions, design data platforms, pipelines and analytics solutions, and help customers adopt OCI and multicloud architectures, ensuring reliable production readiness and measurable business outcomes.