Remote Data & AI Cloud Architect

Yo Ai Labs

Quilmes

Remote

ARS 181,747,000 - 272,620,000

Full time

2 days ago
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Job summary

Yo Ai Labs is seeking a Senior Data and Artificial Intelligence - Cloud Solution expert to partner with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems and accelerate consumption.

The role focuses on designing data platforms, data lakehouse/warehouse options, and real-time pipelines, while balancing security, governance, and cost.

Qualifications

  • 8+ years of experience in data engineering or data architecture, with scalable production data platforms.
  • Hands-on experience designing enterprise data platforms that scale and recover from failures.
  • Proficiency with distributed processing and modern analytics architectures.
  • Experience with Spark, Databricks, Snowflake, BigQuery, or cloud data services.
  • Ability to tie architecture decisions to business outcomes and communicate trade-offs.

Responsibilities

  • Discover data challenges, priorities, growth expectations, and success criteria.
  • Design data platforms for integration, storage, processing, and analytics.
  • Recommend lakehouse/ data warehouse approaches per customer needs.
  • Design batch and real-time pipelines, including ETL/ELT.
  • Help customers balance security, governance, performance, scalability, and cost.
  • Design for reliable operation with monitoring and recovery.
  • Lead technical discussions, demos, and proofs of concept for production adoption.
  • Collaborate with customers and internal teams to resolve integration issues.
  • Build data foundations for analytics, ML, and generative AI use cases.

Skills

Data engineering
Data architecture
Distributed processing
Data integration
Analytics architectures

Tools

Spark
Databricks
Snowflake
BigQuery
OCI

Job description

Yo Ai Labs is seeking a Senior Data and Artificial Intelligence - Cloud Solution expert to partner with customers, sales, engineering and product teams to design, demonstrate and deploy Oracle Cloud architectures that address customer business problems and accelerate consumption.

The role focuses on designing data platforms, data lakehouse/warehouse options, and real-time pipelines, while balancing security, governance, and cost.

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