Senior Principal Engineer - Data and AI Platforms

Job Description

We are seeking a dedicated Senior Principal Engineer with a passion for data engineering to lead and manage our critical Data and Artificial Intelligence (AI) Platform. As part of the Data & Software Engineering (DSE) Team you will be responsible for developing and maintain the infrastructure and tools required for the deployment monitoring and continuous improvement of data and AI platforms.

You will work closely with data engineers and software engineers to scale the Vertex Data Platform (VDP) which is Vertexs cutting-edge technology ecosystem for Data Engineering Data Science and Advanced Analytics. Using the VDP you will help ensure the seamless development operations and monitoring experience for data engineers software engineers and end users. You will help Vertex scale and support data products across our organization to fuel insights & innovation. You will partner with data engineers data scientists and operations teams to build deploy manage and scale modern data and AI platforms helping provide teams with best practices guidance and support.

Vertex Pharmaceuticals is in a transformational period where we are accelerating our capabilities technologies and data to augment our scientific mission enable Vertex to grow in scale and continue to be on the forefront of science medicine and technology. As part of this effort it is critical to ensure that the Vertexs data and AI platform continues to accelerate and enable our data engineers to drive innovation and insight.

Key Responsibilities:

• Platform management - Manage maintain and improve Vertexs 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

Qualifications:

• 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
• Demonstrated experience working in agile environments (5 years)
• 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.
• Enthusiasm for and the ability to quickly learn new technologies and tackle difficult problems.
• Strong presentation verbal and written communication skills
• Working knowledge of key workflow tools including JIRA and Confluence

Pay Range:

Disclosure Statement:

Flex Designation:

Flex Eligibility Status:

In this Remote-Eligible role you can choose to be designated as:
1. Remote: work remotely five days per week and come into the office on occasion youre always welcome on-site; or select
2. Hybrid: work remotely up to two days per week; or select
3. On-Site: work five days per week on-site with ad hoc flexibility.

Note: The Flex status for this position is subject to Vertexs Policy on Flex @ Vertex Program and may be changed at any time.

Company Information

Vertex is a global biotechnology company that invests in scientific innovation.

Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a persons race color sex gender identity or expression age religion national origin ancestry ethnicity disability veteran status genetic information sexual orientation marital status or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law.

Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager or contact Talent Acquisition at