Senior Data Platform Architect (AI-Driven, Remote)

Virgin Voyages; United States; A distancia; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

Virgin Voyages is seeking a Principal Data Engineer to set the technical direction for building and running a modern data platform, with AI-assisted development at the core. You’ll own architecture, pipelines, reliability, and data quality in a highly autonomous role.

You’ll collaborate across Data Engineering, MLOps, Analytics Engineering and stakeholders to deliver scalable data foundations that power analytics and AI use cases, with hands-on leadership and robust engineering practices.

Formación

• 10+ years of experience in data engineering or similar data platform roles.
• Strong SQL and Python skills with production experience.
• Hands-on daily use of AI coding tools (Claude Code, Cursor or Codex).
• Experience designing AI-driven development workflows and CI/CD for data pipelines.

Responsabilidades

• Own and evolve the technical direction of the data engineering platform and standards.
• Design scalable, reliable data pipelines for analytics and AI use cases.
• Modernize the platform toward Managed solutions and improved observability.
• Champion AI-assisted engineering and define how AI-generated code is reviewed and deployed.
• Collaborate with ML, DataOps, Analytics Engineering and stakeholders to align tech with business needs.

Conocimientos

SQL

Python

AI coding tools

Git-based version control

Code review

Automated testing

CI/CD

Herramientas

Claude Code

Cursor

Codex

dbt

BigQuery

Kubernetes

Descripción del empleo

Virgin Voyages is seeking a Principal Data Engineer to set the technical direction for building and running a modern data platform, with AI-assisted development at the core. You’ll own architecture, pipelines, reliability, and data quality in a highly autonomous role.

You’ll collaborate across Data Engineering, MLOps, Analytics Engineering and stakeholders to deliver scalable data foundations that power analytics and AI use cases, with hands-on leadership and robust engineering practices.