Build AI-ready data structures and semantic layers for Cloudbeds, working remotely across LATAM and Canada with Snowflake, dbt, and Python.
This Tech Lead Data Engineer and Data Architect shapes the platform supporting hospitality analytics across Cloudbeds. You will architect access patterns for AI agents, automated LLM workflows, and machine learning pipelines. The hands-on leadership remit also includes modeling, pipeline engineering, MLOps, governance, and technical mentorship.
Key Responsibilities: Architect semantic layers and structures for AI readiness
Own logical and physical modeling across data products
Drive MLOps workflows and data pipeline discipline
Guide Analytical Engineers through reviews and planning
Evaluate tools, frameworks, and architecture patterns
Requirements: Senior hands-on experience as engineer, architect, or tech lead
Exposure to AI agents, feature stores, and semantic models
Advanced dbt macros, models, packages, and testing
Solid Python and expert analytical SQL capabilities
Ability to explain trade-offs and mentor teammates
Bring Snowflake, dbt, Python, and AI-readiness expertise to Cloudbeds' technical anchor for scalable analytics.

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📌 Data Engineering Technical Lead AI (Manitoba)
🏢 Devconnectplatform
📍 Manitoba