Tech Lead: Data Engineering & AI Platform – Remote

Tech Lead: Data Engineering & AI Platform – Remote

Full-Time 121500 - 148500 $ / year (est.) Remote
C

At a Glance

  • Tasks: Lead data architecture and design scalable models for AI-driven analytics.
  • Company: Join Cloudbeds, a fully remote company revolutionizing the hospitality industry.
  • Benefits: Enjoy flexible remote work, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team focused on cutting-edge technology and data excellence.
  • Why this job: Make an impact by driving innovative data solutions in a global platform.
  • Qualifications: Experience in data engineering, Snowflake, and collaboration with cross-functional teams.

The predicted salary is between 121500 - 148500 $ per year.

Cloudbeds is a fully remote company seeking a senior data engineer to own data architecture, platform governance, and ML/AI readiness.

You will design scalable data models on Snowflake, guide data products, and partner with engineering, data science, and business stakeholders to deliver reliable analytics capabilities for a global hospitality platform.

You will lead data pipelines, optimize performance, and drive Data Ops and CI/CD practices, enabling AI-enabled workflows across the organization.

#J-18808-Ljbffr

Tech Lead: Data Engineering & AI Platform – Remote employer: Cloudbeds

At Cloudbeds, we pride ourselves on being a remote-first employer that fosters a culture of innovation and inclusivity. Our team of over 650 global professionals collaborates to transform the hospitality industry, offering exceptional benefits like monthly wellness Fridays, fully paid parental leave, and extensive professional development opportunities. Join us in a dynamic environment where your contributions directly impact our mission to empower hoteliers worldwide.

C

Contact Details:

Cloudbeds Recruitment Team

We think you need these skills to ace Tech Lead: Data Engineering & AI Platform – Remote

Data Architecture
Snowflake
Machine Learning
Artificial Intelligence
Data Modeling
Data Governance
Data Pipeline Development