Senior Data Platform & AI Cloud Architect

Anyone Ai Inc.; Quilmes; On-site; ARS 139,086,000 - 231,811,000; Full time

Job summary

Anyone AI Inc. is seeking a Senior Data and AI - Cloud Solution professional to partner with customers, sales, engineering, and product teams to design, demonstrate, and deploy Oracle Cloud architectures that address business problems and drive cloud consumption.

You will design data platforms for integration, storage, processing, and analytics, recommending lakehouse or data warehouse solutions, and leading production-ready implementations with a focus on reliability and cost optimization.

Qualifications

• 8+ years of experience in data engineering, data architecture, or related roles.
• Experience designing enterprise data platforms that scale and operate reliably in production.
• Ability to connect architecture decisions to business outcomes and explain trade-offs.

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 based on needs.
• Design batch and real-time pipelines, including ETL/ELT and cross-platform integration.
• Explain architecture trade-offs regarding security, governance, performance, and cost.
• Ensure reliable operation with monitoring and recovery strategies.
• Lead technical discussions, demos, and proofs of concept with customers.
• Collaborate with customer and Oracle teams to drive adoption of OCI.

Skills

Data engineering

Data architecture

Distributed processing

Data integration

Analytics architectures

Spark

Tools

Databricks

Snowflake

BigQuery

OCI

Job description

Anyone AI Inc. is seeking a Senior Data and AI - Cloud Solution professional to partner with customers, sales, engineering, and product teams to design, demonstrate, and deploy Oracle Cloud architectures that address business problems and drive cloud consumption.

You will design data platforms for integration, storage, processing, and analytics, recommending lakehouse or data warehouse solutions, and leading production-ready implementations with a focus on reliability and cost optimization.