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 readinessOwn logical and physical modeling across data productsDrive MLOps workflows and data pipeline disciplineGuide Analytical Engineers through reviews and planningEvaluate tools, frameworks, and architecture patternsRequirements:
Senior hands-on experience as engineer, architect, or tech leadExposure to AI agents, feature stores, and semantic modelsAdvanced dbt macros, models, packages, and testingStrong Python and expert analytical SQL capabilitiesAbility to explain trade-offs and mentor teammatesBring Snowflake, dbt, Python, and AI-readiness expertise to Cloudbeds' technical anchor for scalable analytics.
📌 Data Engineering Technical Lead Ai (Canada)
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