Vertex Pharmaceuticals is seeking a Senior Principal Engineer to lead and manage their critical Data and Artificial Intelligence (AI) Platform, to scale the Vertex Data Platform (VDP) and ensure seamless development, operations, and monitoring experience for data engineers, software engineers, and end users.
Requirements
- 10+ years of experience working as a Software Engineer, DevOps Engineer, or Data Engineer within a production ecosystem
- 5+ years working in Principal Engineering role leveraging Snowflake, AWS, or equivalent cloud data platforms
- Demonstrated experience with model pipeline technologies like Astronomer / Airflow
- Demonstrated experience in developing (or supporting) Data engineering solutions leveraging DBT cloud
- Demonstrated experience in data integration solutions like Fivetran
- Strong experience monitoring and optimizing the security and performance of modern data platforms
- Experience automating model training, validation, and deployment processes to enhance efficiency and reproducibility
Responsibilities
- Platform management - Manage, maintain, and improve Vertex’s core data platform with a focus on security, DevOps, and enabling best practices for users to design, implement, and manage end-to-end data pipelines
- Technology expert – Accountable for developing, deploying, & maintaining Vertex Data Platform components that enable & support the full development and deployment cycle for advanced Data Engineering and Artificial Intelligence solutions
- Delivery management – Estimate, architect, and execute on delivery of critical projects & solutions, in partnership with the DSE leadership team, that support and enable data engineers
- Operations Management – Manage & partner with a team of Data Engineers to maintain the Vertex Data Platform. Troubleshoot and resolve issues related to data product deployment, execution, and performance
- Innovation champion - Advocate for process enhancements and opportunities to improve our Data Engineering capabilities. Partner closely with Director, Data Platforms for defining, architecture and designing data platform components. Collaborate with data scientists and data engineers to integrate best practices into the development lifecycle
Other
- Demonstrated ability to work independently and manage multiple projects that require collaboration across functional areas.
- Skillful, collaborative team player able to develop rapport and credibility with stakeholders.
- Demonstrated ability and willingness to teach, engage and support others as they learn new technologies and concepts.
- Strong presentation, verbal, and written communication skills
- Bachelor's, Master's, or Ph.D. degree in a relevant field (not explicitly mentioned but implied)
