Principal Data Engineer, Research

Job Description

General Summary :

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 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
• Delivery management Estimate, architect, and execute on delivery of critical data solutions across the Research domain, 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 6 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies
• Minimum of 6 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 with pipeline technologies like Astronomer / Airflow, MLFlow, etc.
• 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 : $140,080 - $210,120

$140,080 - $210,120

Disclosure Statement :