Architect Databricks-based data platforms including workspace consolidation, permissioning models, and configuration-as-code.
Design high-volume batch and streaming pipelines using PySpark and Structured Streaming.
Automate CI/CD and guardrail patterns for safe platform extension.

Required Technical Qualifications:

End-to-end modern data platform architecture (lakehouse, ingestion, processing, access layers).
Hands-on Databricks with Unity Catalog, job orchestration, and governance tooling.
Experience with AWS cloud-native systems, IaC (Terraform), and FinOps-aligned design.

Experience Requirements:

6+ years in data engineering or architecture roles.
3+ years designing cloud-based data solutions and 3+ years hands-on Databricks experience.
Advanced English (minimum C1).

Benefits:

100% remote work with medical insurance for you and dependents.
Generous holidays and flexible PTO, plus competitive phantom equity.
Paid exams and certifications, peer bonus, and annual learning stipend.

Caylent

Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.

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