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
Requirements
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 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
#LI-REMOTE
Pay Range:
$148,000 - $222,000
Disclosure Statement:
Flex Designation:
Remote-Eligible
Flex Eligibility Status:
In this Remote-Eligible role, you can choose to be designated as:
Remote : work remotely five days per week and come into the office on occasion - you're always welcome on-site; or select
Hybrid : work remotely up to two days per week; or select
On-Site : work five days per week on-site with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertex's Policy on Flex
Benefits
Dental insuranceVision insurance401(k)Remote work optionsEquity / stock optionsPerformance bonus
Additional Information
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.
Vertex Pharmaceuticals · Boston, MA