Cloud Data Platform Engineering Lead
Devconnectplatform
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 foundationsOptimize query execution, clustering, warehouse sizing, and spendExtend Git and CI/CD with automated data validationLead pipeline ingestion, connectors, integrations, and orchestrationDocument architectural decisions and modernize the stackRequirements:
Proven cloud data engineering, architecture, or tech leadershipSnowflake administration, tuning, and dimensional modeling expertiseExperience with orchestration engines and platform evaluationDataOps discipline across Git, CI/CD, and secure credentialsCritical thinking, experimentation, and business-level EnglishLead Cloudbeds platform evolution with Snowflake optimization, DataOps, observability, orchestration, and disciplined technical influence.
#J-18808-Ljbffr
Refine governance, catalog, observability, and alerting foundationsOptimize query execution, clustering, warehouse sizing, and spendExtend Git and CI/CD with automated data validationLead pipeline ingestion, connectors, integrations, and orchestrationDocument architectural decisions and modernize the stackRequirements:
Proven cloud data engineering, architecture, or tech leadershipSnowflake administration, tuning, and dimensional modeling expertiseExperience with orchestration engines and platform evaluationDataOps discipline across Git, CI/CD, and secure credentialsCritical thinking, experimentation, and business-level EnglishLead Cloudbeds platform evolution with Snowflake optimization, DataOps, observability, orchestration, and disciplined technical influence.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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