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.

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