Senior Data Platform Engineer (Hybrid - NJ or PA)

Job Description

The Senior Data Platform Engineer is responsible for architecting, designing, implementing, and optimizing data pipelines, models, and consumption mechanisms for data across the clinical, regulatory, safety and quality domains. This role will work with stakeholders across the organization, including business partners who directly consume data for insights, IT Product Lines that generate and receive data to support business process, and our Central Technology Organization to develop and leverage common solutions for the enterprise. This is an exciting opportunity to demonstrate thought leadership and transform the data eco-system for drug development data.

Education Minimum Requirements:

• Minimum of a Bachelor's Degree in Data Science, Computer Science, Management Information Systems, IT, or an equivalent scientific/commercial discipline.

Required Experience and Skills:

• Minimum of 7 years of relevant experience in designing solutions utilizing data platforms, preferably in data engineering.

• Extensive hands-on experience developing data systems in cloud environments.

• Strong understanding of data warehousing, data modeling (3NF and dimensional)

• Experience with database technologies (e.g., SQL, DataBricks, RedShift), ETL and data integration tools (dbt, AWS Glue)

• Hands-on experience with DevOps technologies such GitHub, Git CI/CD and/or Jenkins and automation of deployment.

• Outstanding interpersonal and communication skills; adept at working with colleagues from diverse disciplines and at all levels of the company, articulating complex technical topics at the right level of detail for specific audiences.

• Proven experience in team building, mentoring, and leadership with a demonstrated ability to inspire others to follow a common vision.

• Proven ability to execute consistently, rapidly, and effectively.

• Excellent organizational skills, with the ability to navigate a complex matrix environment and efficiently prioritize work.

Preferred Experience:

• Experience developing reference architecture, principles and standards, and best practices

• Familiarity with data science algorithms, such as advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling, and model evaluation, is a plus.

• Proven knowledge of business processes and industry/market trends within the pharmaceutical/healthcare space.

• Strong track record of successfully completing multi-stakeholder projects that require cross-functional coordination between departments.

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NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

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We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace.  All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected charac