Note: The job is a remote job and is open to candidates in USA. Virgin Voyages is seeking a Principal Data Engineer to provide technical leadership across the data engineering landscape, focusing on data platform architecture and pipeline design. The successful candidate will play a key role in shaping technical direction and delivering scalable data solutions that support analytics and AI enablement.
Responsibilities
- Own and evolve technical direction for the data engineering platform, including architecture, standards, and long-term platform evolution
- Design and guide the development of scalable, reliable data pipelines and platform capabilities that support analytics and AI use cases
- Contribute to the modernization and evolution of the data platform toward more scalable and managed solutions
- Define and enhance engineering standards, architecture patterns, reusable frameworks, and best practices across the data engineering function
- Improve platform reliability, observability, testing practices, and data quality across production data environments
- Partner with machine learning and related technical teams to support AI platform enablement and help shape MLOps practices where appropriate
- Support broader adoption of AI tools in engineering workflows and day-to-day productivity, including familiarity with tools such as Claude Code and Codex
- Collaborate with Data Engineering, Analytics Engineering, and stakeholders outside the core data organization to align technical solutions with business and platform needs
- Provide selective hands-on technical contribution, particularly in the establishment of foundational services, frameworks, and platform capabilities
Skills
- 10+ years of experience in data engineering or related data platform roles
- Demonstrated experience designing and evolving modern data platforms, pipelines, and architecture
- Strong SQL and Python skills
- Experience working across a modern data technology stack
- Experience with cloud-based data platforms and managed services
- Proven ability to operate independently and lead technical direction with a high degree of autonomy
- Strong experience improving reliability, observability, testing, and data quality within production data environments
- Experience establishing engineering standards, architecture patterns, and reusable technical frameworks
- Experience enabling AI use cases through strong data engineering foundations
- Familiarity with AI-assisted engineering workflows and tools
- Experience with GCP, including BigQuery
- Experience with dbt or other modern data transformation frameworks
- Exposure to MLOps concepts and collaboration with machine learning engineers
- Experience with DataOps practices and modern platform operating models
- Ops or DevOps knowledge
- Experience supporting adoption of AI tools for code generation and day-to-day engineering productivity
- Experience in travel, hospitality, consumer platforms, or recommendations and personalization use cases
- Strong stakeholder communication and cross-functional collaboration skills
Company Overview
Company H1B Sponsorship