Principal Data Engineer
New
V
Virgin VoyagesTravel and Hospitality
This gig is remote and open to candidates based in Florida.Full-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 10+ years
- Required Skills
- PythonSQLCloud ComputingData engineeringBigQuerydbtMLOps
Requirements
- 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 (e.g., Claude Code, Codex).
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.
- Collaborate with Data Engineering, Analytics Engineering, and stakeholders 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.
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