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Vertex Pharmaceuticals

Principal Data Engineer | Manufacturing & Supply Chain

Vertex Pharmaceuticals, Boston, MA


Job DescriptionWe are seeking a dedicated engineer with a passion for data to join our Data & Software Engineering (DSE) Team. As part of our team, you will enable and support our rapidly advancing Biopharmaceutical Sciences and Manufacturing Operations (BSMO) organization. Your expertise will be essential in integrating, processing, and curating complex datasets from various stages of Vertex pharmaceutical manufacturing systems and processes, helping fuel insights and innovation.As part of the Data & Software Engineering (DSE) Team, you will work on the Vertex Data Platform, a cutting-edge technology ecosystem that centralizes data, enables governance, and fuels insights. As the Principal Data Engineer for BSMO, you will lead, develop, and engage with our BSMO organization on critical data workloads that support analytics, insights, and curated data access for our Manufacturing teams.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 equip our organization with curated data to enable decision making.Key Responsibilities:Data Engineering – Integrate & curate data from manufacturing systems (MES, LIMS, ERP) to support analytics and monitoring. Collaborate closely with our manufacturing and quality assurance teams to understand requirements, and translate them into data solutionsData Engineering Management - Manage, maintain, and improve the Vertex Data Platform solutions that support & enable ManufacturingDelivery Management – Estimate, architect, and execute on delivery of critical data solutions across the BSMO domain, in partnership with the DSE leadership teamOperations Management – Manage a team of data engineers to maintain compliant, timely, secure, and reliable data workloads for BSMOInnovation Champion - Advocate for process enhancements and opportunities to improve our capabilities with a focus on efficiency, scale, and data connectivityQualifications:Minimum of 6 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologiesMinimum of 6 years of experience in pharmaceutical manufacturing, with an emphasis on GxP qualification, system validation, data integrity, and data governanceExperience in a regulated environment (FDA) required. Familiarity with regulatory requirements specific to manufacturing, such as 21 CFR Part 11 ComplianceAwareness of CMSC data standardization efforts such as PQ/CMCPrior experience leading Data Engineering projects and teamsDemonstrated ability to mentor junior team members and prioritize workload to teamSuccessful track record managing an integrated vendor teamExperience in delivery in agile environments (5+ years)Demonstrated ability to work independently and manage multiple projects that require collaboration across functional areasSkillful, collaborative team player able to develop rapport and credibility with stakeholdersDemonstrated ability and willingness to teach, engage and support others as they learn new technologies and conceptsEnthusiasm for and the ability to quickly learn new technologies and tackle difficult problemsStrong presentation, verbal, and written communication skillsWorking knowledge of key workflow tools, including JIRA and ConfluencePay Range:$140,080 - $210,120Disclosure Statement:The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations.  From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.Flex Designation:Remote-EligibleFlex 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 – you’re always welcome on-site; or select2.    Hybrid: work remotely up to two days per week; or select3.    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 @ Vertex Program and may be changed at any time. Company InformationVertex 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 person's 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 ApplicationAssistance@vrtx.comSummaryLocation: Boston, MAType: Full time