Cloudbeds# Tech Lead Data EngineerReview the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.
Apply for this job View companyRemote from: Canada, LATAMSalary: UndisclosedDepartment: Data Science & AnalyticsEmployment: Full TimeExperience: SeniorPublished: 22 Oct 2026Apply before: 21 Nov 2026Listing views: 665Application actions: 26Application toolkit## Make your next move.
Prepare your resume, explore your fit, and draft a cover letter for this chance.
AI Summary## The role, at a glance.
Cloudbeds is seeking a senior hands-on data engineering leader to set the architecture and technical standards for its company-wide analytics platform. The role owns Snowflake warehouse design, dimensional modeling, dbt development practices, data pipelines, governance, observability, and cost optimization. It also leads AI-readiness work by designing reliable semantic layers, data structures, and access patterns for ML and agentic workflows. The Tech Lead mentors analytical engineers and partners with engineering, infrastructure, data science, and business stakeholders in a globally distributed remote organization.## Role DNAA quick view of the complexity, pace, ownership and collaboration implied by the

job description
.### Job Complexity5/5EasyHard### Pace & Pressure4/5RelaxedFast-paced### Autonomy Level5/5GuidedFull ownership### Communication Load5/5IndependentCollaborativeAI insightThis is a senior technical leadership position spanning architecture, platform operations, governance, DataOps, MLOps, and team mentorship.



Success requires deep practical expertise while making high-impact technical trade-offs with considerable autonomy.## Salary analysisEstimated compensation compared with the broader US market for similar roles.
Estimated job median (per year)Market rate$165,000US market range (per year)$140k–$200k0$220.00kAI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The annual USD figures are AI-estimated market compensation for a senior remote Data Engineering Tech Lead / Data Architect role serving the US market; yearly cadence is inferred from the senior full-time professional role.## Core skillsSkills and capabilities most closely associated with this chance.
SnowflakedbtData ArchitectureDimensional ModelingSQLPythonETL/ELT PipelinesDataOpsCI/CDData GovernanceData ObservabilityApache AirflowMLOpsData Warehouse OptimizationTechnical LeadershipSample interview questionsOpportunity details## About this role.What Makes Cloudbeds UniqueAt Cloudbeds, we’re not just building software, we’re transforming hospitality. Our platform powers hotels across 150 countries, processing billions in bookings annually. From boutique properties to large hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers’ biggest challenges. Since our founding in 2012,



we’ve continually been recognized for excellence, most recently earning top honors at the 2026 HotelTechAwards for Best Hotel Management Software and landing on Deloitte’s Technology Fast 500 again, but we’re just getting started.Our Data Analytics & BI Team:We are a small, senior, fully remote team running analytics for the entire company on Snowflake, dbt, Matillion, and Sigma. We move fast and ship things people use daily. What we’re missing is a senior technical voice to make the foundational calls — architecture, platform, governance, ML Ops — so that speed compounds instead of accumulating debt. That’s this role, and it comes with unusual latitude to decide how the platform should work.How You’ll Make an Impact:As our Tech Lead Data Engineer & Data Architect, you will shape the technical direction, architectural standards, and data governance of our core Data Analytics platform. This is a hands-on leadership role: you will act as our Data Architect—owning logical and physical data modeling, warehouse design, and layered curation (staging → intermediate → mart)—while serving as our Data Engineering Tech Lead.
You will help continuously modernize our tech stack, elevating our software engineering discipline across our data pipelines (DataOps/CI-CD), optimizing compute performance and costs, driving MLOps workflows, and reinforcing data quality and security standards. Crucially, you will drive our AI-readiness initiatives—architecting the semantic layers, data structures, and access patterns needed to make our data seamless and reliable for AI agents and automated workflows. You will serve as the technical anchor for a talented team of Analytical Engineers, collaborating closely with Engineering, Infr

📌 Tech Lead Data Engineer (Canada)
🏢 Data Co Lab X
📍 Canada