Canada; Latin America•Canada•Europe•Latin America
Remote
Senior
Full Time
Tech LeadData EngineerData ArchitectRemoteSeniorCloudSnowflakedbtAI readiness
Requirements
- •Proven track record as a Senior Data Engineer, Data Architect, or Tech Lead in cloud data environments
- •Exposure to preparing data structures, semantic models, feature stores, and API/access layers for AI agents, machine learning pipelines, and automated LLM workflows
- •Deep hands-on expertise administering, tuning, and modeling in Snowflake
- •Advanced mastery of dbt including macros, incremental models, custom tests, packages, and dbt-native CI/CD testing
- •Expert analytical SQL skills including query execution plan tuning, window functions, CTEs
- •Strong Python proficiency for data pipelines, scripting, and MLOps workflows
- •Practical experience with ingestion and orchestration engines such as Matillion, Apache Airflow, Prefect, Dagster, Fivetran
- •Experience operating with active Git and CI/CD pipelines and extending these systems for automated data testing, deployment validation, and secure credential rotation
- •Critical thinking and problem decomposition skills
- •Passion for building lightweight MVPs and Proofs of Concept
- •Business-level English fluency with ability to articulate complex technical trade-offs and mentor teammates
What You'll Do
- •Shape the technical direction, architectural standards, and data governance of the core Data Analytics platform
- •Act as Data Architect owning logical and physical data modeling, warehouse design, and layered curation
- •Serve as Data Engineering Tech Lead
- •Modernize tech stack and elevate software engineering discipline across data pipelines
- •Optimize compute performance and costs
- •Drive MLOps workflows
- •Reinforce data quality and security standards
- •Drive AI-readiness initiatives including architecting semantic layers and data structures for AI agents
- •Serve as technical anchor for Analytical Engineers
- •Collaborate with Engineering, Infrastructure, Data Science / ML and business stakeholders
Nice to Have
- •Exposure to applied AI tooling such as Snowflake Cortex, AI Classify, RAG workflows, LLM agents, MCP servers
- •Familiarity with modern BI consumption tools like Sigma or workflow engines like n8n
Benefits
- •Remote First, Remote Always
- •PTO in accordance with local labor requirements
- •Fully Paid Parental Leave
- •Home office stipend based on country of residency
- •Professional development courses in Cloudbeds University
- •Access to professional development including manager training, upskilling, and knowledge transfer
About Cloudbeds
Cloudbeds’ hospitality management platform enables hotels to grow revenue, streamline operations, and deliver memorable guest experiences.
San Diego, CA, US
500 - 1000
Hospitality