Job Description

We are seeking a dedicatedPrincipal Data Engineerwith a passion forpharmaceutical research, to lead and manage our criticalData Engineering team as they strategically enable scientists across Vertex with data.As part of the Data &Software Engineering (DSE)Team, you willbe responsible fordeveloping, curating,andmaintainingdataassetsthat enable our scientists and manufacturing and supply chain teams to maketimely, informed, and criticaldecisions..

You will work closely with data scientists, data engineers, and platform engineerstoscalethe Vertex Data Platform,which isVertex99scutting edgetechnology ecosystem for Data Engineering, Data Science, and Advanced Analytics. Using the VDP, you will helpensure that our scientists are equipped with information to drive their analysis, models, andinvestigations.

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 theVertex99sresearch dataplatformcontinues to accelerate and enable our data scientists to drive innovation and insight.

Key Responsibilities:

• Data Engineering Integrate & curate data fromresearchsystems& artifactsto support analytics, modelling, machine learning, and investigation. Collaborate closely with ourresearch engagementteams to understand requirements, and translate them into data solutions
• Data Engineering management - Manage,maintain, and improve the Vertex Data Platform solutions that support & enableresearch scientists and manufacturing and supply chain analytics teams
• Delivery management Estimate, architect, and execute ondelivery ofcritical datasolutionsacross research, manufacturing, and supply chaindomains in partnership with the DSE leadership team
• Operations Management Manage a team ofdataengineers tomaintaincompliant,timely, secure, and reliabledata workloads forResearch. Work alongside ourDSEMLOpsteam to support complex workloads thatleveragecurated & model ready data
• Innovation champion - Advocate for process enhancements and opportunities to improve our capabilities with a focus on efficiency, scale, and data connectivity

Qualifications:

• Minimum of 9 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies
• Minimum of 9 yearsof experience in pharmaceuticalresearch, with an emphasis ondata engineering, data science, data integrity, and data governance
• Prior experience leading Data Engineering projects and teams
• 3+ yearsleveragingDatabricks,Snowflake,AWS, orequivalentclouddata platforms
• Demonstrated experience with pipeline technologies like Astronomer / Airflow,MLFlow, etc.
• Demonstrated ability to work independently and manage multiple projects that requirecollaboration across functional areas.
• Skillful, collaborative team player able to develop rapport and credibility with stakeholders.
• Demonstrated ability and willingness to teach,engageand support others as they learnnewtechnologiesand concepts.
• Enthusiasm for and the ability to quickly learnnew technologiesand tackle difficult problems
• Strong presentation, verbal, and written communication skills
• Working knowledge of key workflow tools, including JIRA and Confluence

#LI-REMOTE

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 60you99re 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 Vertex99s Policy on Flex @ Vertex Program and may be changed at any time.

#LI-Remote