Cloud Data Platform Engineering Lead
3 hours ago
Winnipeg, Manitoba, Canada
Devconnectplatform
Full-time
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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.
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.