Senior GenAI & Data Platform Engineer (Remote)

Overseas; Quilmes; Remote; ARS 216,357,000 - 355,443,000; Full time

Benefits offered by this job

Professional growth

USD-based pay

Flextime

Job summary

Pearster is hiring a Senior Data and AI Cloud Solution professional to design data platforms, pipelines, and architectures for scalable analytics and AI use cases. This remote role collaborates with customers and internal teams to drive production-ready solutions and successful adoption of OCI and multicloud strategies.

You will lead discussions, design data foundations for analytics, ML, and generative AI, and help customers scale their data workloads across on-demand environments.

Qualifications

• 8+ years of experience in data engineering, data architecture, or related roles with hands-on data platform design.
• Practical knowledge of distributed processing, data integration, and modern analytics architectures.
• Experience with Spark, Databricks, Snowflake, BigQuery or cloud data services.
• Ability to connect architecture decisions to business outcomes and explain trade-offs to different audiences.
• Experience working directly with customers from discovery through delivery.
• OCI and multicloud architectures is a plus.

Responsibilities

• Discover customer data challenges and success criteria to design suitable data platforms.
• Design data pipelines for integration, storage, processing, and analytics.
• Recommend data lake/lakehouse/data warehouse approaches per customer needs.
• Lead technical discussions, proofs of concept, and production deployment.
• Collaborate with customers and internal teams to resolve integration and operational challenges.

Skills

8+ years data engineering/architecture

Distributed processing & data

Spark/Databricks/Snowflake/BigQuery

Customer-facing collaboration

OCI & multicloud

Tools

Cloud platforms

Job description

Pearster is hiring a Senior Data and AI Cloud Solution professional to design data platforms, pipelines, and architectures for scalable analytics and AI use cases. This remote role collaborates with customers and internal teams to drive production-ready solutions and successful adoption of OCI and multicloud strategies.

You will lead discussions, design data foundations for analytics, ML, and generative AI, and help customers scale their data workloads across on-demand environments.