Principal Data Engineer - name

Job Description

We are seeking a dedicated Principal Data Engineer with a passion for pharmaceutical research, to lead and manage our critical Data Engineering team as they strategically enable scientists across Vertex with data. As part of the Data & Software Engineering (DSE) Team, you will be responsible for developing, curating, and maintaining data assets that enable our scientists and manufacturing and supply chain teams to make timely, informed, and critical decisions..

You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex’s cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics. Using the VDP, you will help ensure that our scientists are equipped with information to drive their analysis, models, and investigations.

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 Vertex’s research data platform continues to accelerate and enable our data scientists to drive innovation and insight.

Key Responsibilities:

• Data Engineering – Integrate & curate data from research systems & artifacts to support analytics, modelling, machine learning, and investigation. Collaborate closely with our research engagement teams to understand requirements, and translate them into data solutions
• Data Engineering management - Manage, maintain, and improve the Vertex Data Platform solutions that support & enable research scientists and manufacturing and supply chain analytics teams
• Delivery management – Estimate, architect, and execute on delivery of critical data solutions across research, manufacturing, and supply chain domains in partnership with the DSE leadership team
• Operations Management – Manage a team of data engineers to maintain compliant, timely, secure, and reliable data workloads for Research. Work alongside our DSE MLOps team to support complex workloads that leverage curated & 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 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance
• Prior experience leading Data Engineering projects and teams
• 3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms
• Demonstrated experience wi