Senior AI & Data Cloud Architect (Remote)

Anyone Ai Inc.; Buenos Aires; Remote; ARS 3,200,000 - 6,000,000; Full time

Job summary

Anyone Ai Inc. is seeking a Senior Data and Artificial Intelligence - Cloud Solution to help customers design and deploy Oracle Cloud architectures that address business problems.

You will partner with customers, sales, engineering and product teams to accelerate cloud adoption from discovery to deployment. You’ll design data platforms, pipelines, and analytics foundations, discuss trade-offs, lead proofs of concept, and drive production-ready solutions.

Qualifications

• 8+ years of experience in data engineering, architecture, or related roles.
• Experience building enterprise data platforms with reliable production operations.
• Hands-on design of data pipelines, data lakes, lakehouse, or data warehouses.
• Ability to communicate trade-offs to business and technical audiences.
• Experience with OCI and multi-cloud architectures is a plus.

Responsibilities

• Discover customer data challenges, priorities, and 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, including ETL/ELT.
• Advise on security, governance, performance, scalability, resilience, and cost.
• Design for reliable operation with monitoring and failure recovery.
• Lead technical discussions, demos, and proofs of concepts.
• Collaborate with customer and Oracle teams to resolve integration issues.
• Build data foundations for analytics, ML, and generative AI use cases.

Skills

Data engineering

Data architecture

Distributed processing

Cloud data services

OCI / Multicloud

Customer-facing

Tools

Spark

Databricks

Snowflake

BigQuery

Job description

Anyone Ai Inc. is seeking a Senior Data and Artificial Intelligence - Cloud Solution to help customers design and deploy Oracle Cloud architectures that address business problems.

You will partner with customers, sales, engineering and product teams to accelerate cloud adoption from discovery to deployment. You’ll design data platforms, pipelines, and analytics foundations, discuss trade-offs, lead proofs of concept, and drive production-ready solutions.