Senior Data Architect & Tech Lead (Snowflake/AI)

Remote; San Francisco (CA); A distancia; USD 190.000 - 230.000; Jornada completa

Descripción de la vacante

Cloudbeds is seeking a Senior Data Engineer, Data Architect, or Tech Lead to shape the analytics platform's architecture and governance. This hands-on leadership role owns data modeling, warehouse design, and layered data curation while guiding a talented team of Analytical Engineers in a remote, globally distributed setting.

You will drive modernization of the data stack, DataOps/CI‑CD, and ML/AI readiness, collaborating closely with Engineering, Infra, Data Science, and business stakeholders

Formación

• Senior Hands-On Experience as Data Engineer, Architect, or Tech Lead.
• Experience preparing data structures and semantic models for AI/ML workflows.
• Deep, hands-on Snowflake and dbt expertise.
• Advanced SQL and Python for data pipelines and MLOps.
• Experience evaluating orchestration tools and architectures.
• Strong DataOps, Git, CI/CD discipline and automated testing.

Responsabilidades

• Shape the technical direction and data governance of the analytics platform.
• Own logical and physical data modeling, warehouse design, and layering (staging→intermediate→mart).
• Lead the data engineering team as Tech Lead and Architect.
• Modernize the data stack and implement DataOps/CI‑CD across pipelines.
• Drive MLOps workflows and AI-readiness initiatives for AI agents.
• Collaborate with Engineering, Infra, Data Science, and stakeholders to ensure reliability.

Conocimientos

Data architecture

Data modeling

SQL

Python

Data warehousing

DataOps

CI/CD

Cloud Snowflake

Team leadership

Remote collaboration

Herramientas

Snowflake

dbt

Matillion

Sigma

Airflow

Descripción del empleo

Cloudbeds is seeking a Senior Data Engineer, Data Architect, or Tech Lead to shape the analytics platform's architecture and governance. This hands-on leadership role owns data modeling, warehouse design, and layered data curation while guiding a talented team of Analytical Engineers in a remote, globally distributed setting.

You will drive modernization of the data stack, DataOps/CI‑CD, and ML/AI readiness, collaborating closely with Engineering, Infra, Data Science, and business stakeholders