Tech Lead Data Engineer

Cloudbeds; Caracas; Remote; VES 105,171,000 - 131,464,000; Full time

Benefits offered by this job

Remote First

PTO per local law

Home office stipend

Cloudbeds University

Professional development

Job summary

Cloudbeds is seeking a Senior Data Engineer / Tech Lead to shape our Data Analytics platform. You will own data architecture, modeling, and governance for Snowflake and data products. Lead end-to-end data pipelines, drive DataOps/CI-CD, and mentor a distributed team of Analytical Engineers in a remote setting.

You will advance ML readiness, optimize costs, and ensure high data quality across staging to marts while collaborating with Engineering, Data Science, and business stakeholders.

Qualifications

• Senior data engineering background with cloud data environments
• Experience architecting data platforms and governance
• Hands-on leadership in data pipelines, ML workflows
• Strong SQL and Python for data pipelines
• Familiarity with dbt, Snowflake, and modern ELT/ETL tools

Responsibilities

• Own data architecture and modeling for Snowflake and data products
• Lead end-to-end data pipeline design and execution
• Embed data discipline in CI/CD with automated testing
• Develop governance, observability, and data catalog strategies
• Tune query performance and manage compute costs in Snowflake
• Mentor teammates and guide agile data teams
• Evaluate and modernize data stack architectures

Skills

Senior Data Engineer

Data Architect

Tech Lead

AI & ML Ops

Data Modeling

SQL proficiency

Python

Data Governance

Cloud Snowflake

Tools

Snowflake

dbt

Matillion

Sigma

Airflow

Dagster

Prefect

Fivetran

Job description

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗖𝗹𝗼𝘂𝗱𝗯𝗲𝗱𝘀 𝗨𝗻𝗶𝗾𝘂𝗲

At 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, Infrastructure, Data Science / ML and business stakeholders to ensure our data ecosystem is reliable, scalable, and business‑ready.

𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗕𝗿𝗶𝗻𝗴 𝘁𝗼 𝘁𝗵𝗲 𝗧𝗲𝗮𝗺

• Data Architecture & Modeling Ownership: Set and evolve our cloud data architecture on Snowflake. Own data model design across data products and marts, implementing flexible dimensional models (Star Schemas, SCDs, conformed dimensions) and documenting decisions through Architecture Decision Records (ADRs).
• Data Engineering Competency: Lead the end-to-end design and execution of data pipelines—owning ingestion, API integrations, custom connectors, ELT/ETL processes, and pipeline orchestration.
• DataOps & CI/CD Integration: Build upon our existing Git, CI/CD, and Jira workflows by embedding specialized data discipline—such as automated dbt testing on pull requests, environment isolation, automated credential management, and data deployment standards.
• Governance & Observability Strategy: Build upon and refine the initial foundations of our governance model. Evaluate, select, and implement scalable Data Catalog and Data Observability solutions to track data lineage, ensure freshness, monitor completeness, and automate failure alerting.
• Platform Efficiency & Cost Control: Continuously tune Snowflake query performance, clustering, and warehouse sizing to optimize execution times and compute spend.
• Technical Mentorship & Agile Leadership: Raise the technical effectiveness of Analytical Engineers within our Agile planning framework through architectural guidance, design reviews, and constructive challenge.
• Stack Modernization & Architecture Evolution: Continuously evaluate new tools, frameworks, and architecture patterns to modernize, optimize, and add flexibility to our data stack.

𝗪𝗵𝗮𝘁 𝗦𝗲𝘁𝘀 𝗬𝗼𝘂 𝗨𝗽 𝗳𝗼𝗿 𝗦𝘂𝗰𝗰𝗲𝘀𝘀

• Senior Hands‑On Experience: Proven track record as a Senior Data Engineer, Data Architect, or Tech Lead in cloud data environments.
• AI & Agent Readiness: Exposure to preparing data structures, semantic models, feature stores, and API/access layers for AI agents, machine learning pipelines, and automated LLM workflows.
• Snowflake & dbt Mastery: Deep hands‑on expertise administering, tuning, and modeling in Snowflake, alongside advanced mastery of dbt (macros, incremental models, custom tests, packages, and dbt‑native CI/CD testing).
• Advanced SQL & Python Skills: Expert analytical SQL skills (query execution plan tuning, window functions, CTEs) and strong Python proficiency for data pipelines, scripting, and MLOps workflows.
• Orchestration & Tool Evaluation: Practical experience with ingestion and orchestration engines (e.g., Matillion, Apache Airflow, Prefect, Dagster, Fivetran), with a strong ability to evaluate architectural trade‑offs, performance, and costs when selecting or migrating platforms.
• DataOps & Software Engineering Discipline: Experience operating with active Git and CI/CD pipelines, with a track record of extending these systems to include automated data testing, deployment validation, and secure credential rotation.
• Critical Thinking & Problem Decomposition: Tendency to question assumptions, gather full business context, form hypotheses, and rigorously evaluate outputs (especially for AI/ML outputs) before jumping to technical solutions.
• Pragmatic Experimentation: Passion for building lightweight MVPs and Proofs of Concept (POCs) to evaluate new technologies, test architectural hypotheses, and modernize the data stack.
• Communication & Technical Influence: Business‑level English fluency with the ability to articulate complex technical trade‑offs clearly, mentor teammates, and collaborate effectively in a remote, globally distributed team.

𝗕𝗼𝗻𝘂𝘀 𝗦𝗸𝗶𝗹𝗹𝘀 𝘁𝗼 𝗦𝘁𝗮𝗻𝗱 𝗢𝘂𝘁

• Exposure to applied AI tooling (Snowflake Cortex, AI Classify, RAG workflows, LLM agents, MCP servers).
• Familiarity with modern BI consumption tools like Sigma or workflow engines like n8n.

𝗪𝗼𝗿𝗸 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Please note that applicants must be currently authorized to work in the location where the position is located without requiring visa sponsorship. At this time, Cloudbeds is unable to provide sponsorship for work visas.

𝗪𝗵𝗮𝘁 𝘁𝗼 𝗘𝘅𝗽𝗲𝗰𝘁 - 𝗬𝗼𝘂𝗿 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 𝘄𝗶𝘁𝗵 𝗨𝘀

Behind Cloudbeds' revolutionary technology is a team redefining what's possible in hospitality. We're 650+ team members across 40+ countries, bringing together elite engineers, AI architects, world‑class designers, hoteliers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we’re not just watching the future of hospitality unfold – we’re coding it, designing it, writing it, and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion‑dollar industry, this is your chance to be part of something extraordinary.

Learn more online at cloudbeds.com

𝗖𝗹𝗼𝘂𝗱𝗯𝗲𝗱𝘀 𝗔𝘄𝗮𝗿𝗱𝘀:

• Winner – Hotel Management Software | HotelTechAwards (2026)
• Overall 10 Best Places to Work | HotelTechAwards (2026)
• Overall Top 10 Hotelier's Choice | HotelTechAwards (2026)
• Finalist – Property Management Systems (PMS) & Channel Managers | HotelTechAwards (2026)
• Most Loved Workplace® Certified (2024)
• Deloitte Technology Fast 500 (2024)

𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿 𝗼𝘂𝓇 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

𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝗶𝘀 𝗪𝗲𝗹𝗰𝗼𝗺𝗲 - 𝗔 𝗖𝘂𝗹𝘁𝘂𝗿𝗲 𝗼𝗳 𝗜𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻

Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard‑of‑hearing, deaf‑blind, and deaf‑disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at [phone] or via email at [e-mail]. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring process.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.