About the position
You will build a team of talented engineers that will work cross functionally to define, build, and execute best practices to ensure decisions are made using data. This role involves leading and continuing to build a world-class team of engineers by providing technical guidance and mentorship. You will design and implement scalable data infrastructure to ingest, process, store, and access multiple data supporting flight test, manufacturing and supply chain, and airline operations. Additionally, you will build and support the development of novel tools to enable insight and decision making with teams across the organization. Evolving data engineering and AI strategy to align with the short and long term priorities of the organization is also a key responsibility. You will evaluate data engineering tools and lead build vs. buy decisions that effectively balance performance and cost. Creating and maintaining documentation for data systems, models, and processes is essential, as well as helping to establish a strong culture of data that is used throughout the company and industry. Finally, you will lead initiatives to integrate AI capabilities in new and existing tools.
Responsibilities
- Lead and continue to build a world-class team of engineers by providing technical guidance and mentorship
- Design and implement scalable data infrastructure to ingest, process, store, and access multiple data supporting flight test, manufacturing and supply chain, and airline operations
- Build and support the development of novel tools to enable insight and decision making with teams across the organization
- Evolve data engineering and AI strategy to align with the short and long term priorities of the organization
- Evaluate data engineering tools and lead build vs. buy decisions that effectively balance performance and cost
- Create and maintain documentation for data systems, models, and processes
- Help to establish a strong culture of data that is used throughout the company and industry
- Lead initiatives to integrate AI capabilities in new and existing tools
Requirements
- 6+ years of experience in a similar role, 2 of which are in a data leadership role
- B.S. in a quantitative discipline such as Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field
- Expertise with data engineering disciplines including data warehousing, database management, ETL processes, and ML model deployment
- Experience with cloud-based data platforms such as AWS, GCP, or Azure
- Demonstrated experience with data governance standards and practices
- 3+ years leading teams, including building and recruiting data engineering teams supporting diverse stakeholders
Nice-to-haves
- M.S. Degree in a quantitative discipline
- Experience with aviation or a regulated industry
- Detail oriented, especially when it involves customer success
- Excellent verbal and written communication skills working with both technical and nontechnical stakeholders
Benefits
- Competitive salary
- Pay-for-performance culture
- Reasonable accommodations for applicants with disabilities or religious beliefs
