Modernize Cloudbeds' cloud data platform through DataOps, observability, and cost control in a fully remote LATAM and Canada role.

As Tech Lead Data Engineer and Data Architect, you will establish architectural standards for a reliable, scalable Data Analytics ecosystem. Your work spans Snowflake optimization, dbt-native CI/CD, data quality, security, cataloging, lineage, and orchestration. You will collaborate with global technical and business stakeholders while challenging assumptions and testing practical architecture ideas.

Key Responsibilities:

- Refine governance, catalog, observability, and alerting foundations
- Optimize query execution, clustering, warehouse sizing, and spend
- Extend Git and CI/CD with automated data validation
- Lead pipeline ingestion, connectors, integrations,



and orchestration
- Document architectural decisions and modernize the stack

Requirements:

- Proven cloud data engineering, architecture, or tech leadership
- Snowflake administration, tuning, and dimensional modeling expertise
- Experience with orchestration engines and platform evaluation
- DataOps discipline across Git, CI/CD, and secure credentials
- Critical thinking, experimentation, and business-level English

Lead Cloudbeds platform evolution with Snowflake optimization, DataOps, observability, orchestration, and disciplined technical influence.

📌 Cloud Data Platform Engineering Lead (Canada)
🏢 Devconnectplatform
📍 Canada