Senior Principal, Data Engineering

If you are a current Jazz employee please apply via the Internal Career site

Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases — often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit www.jazzpharmaceuticals.com for more information.

The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics.

Essential Functions

• Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform.
• Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools.
• Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift.
• Build and maintain standard data models.
• Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines.
• Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements.
• Create and maintain documentation for data processes, architectures, and workflows.
• Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI).
• Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model.
• Maintain compliance with data privacy regulations such as HIPAA, GDPR
• May be required to develop, deliver or support data literacy training across R&D.

Required Knowledge, Skills and Abilities

• Expert knowledge of data engineering tools such as Python, R and SQL for data processing.
• Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.
• Expert proficiency with relational databases.
• Strong background in data modeling and database design.
• Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph).
• Experience with Containerization such as Docker and EKS/Kubernetes.
• Experience with one or more RnD research process and associated regulatory requirements.
• Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
• Experience to big data technologies and handling.
• Knowledge of machine learning operations (MLOps) and model deployment.
• Strong problem-solving and analytical abilities.
• Excellent communication skills for collaborating with stakeholders.
• Experience working in an Agile development environment.

Required/Preferred Education

• Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred
• 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data

Description of Physical Demands

• Occasional mobility within office environment
• Routinely sitting for extended periods of time
• Constantly operating a computer, printer, telephone and other similar office machinery

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Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law.

FOR US BASED CANDIDATES ONLY
 

Jazz Pharmaceuticals, Inc. is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. For this role, the full and complete base pay range is:

Individual compensation paid within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, and other pertinent factors. The goal is to ensure fair and competitive compensation aligned with the candidate's expertise and contributions, within the established pay framework and our Total Compensation philosophy. Internal equity considerations will also influence individual base pay decisions. This range will be reviewed on a regular basis.

At Jazz, your base pay is only one part of your total compensation package. The successful candidate may also be eligible for a discretionary annual cash bonus or incentive compensation (depending on the role), in accordance with the terms of the Company's Global Cash Bonus Plan or Incentive Compensation Plan, as well as discretionary equity grants in accordance with Jazz’s Long Term Equity Incentive Plan. 

The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, 401k retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: https://careers.jazzpharma.com/benefits.html