Sr. Associate, Platform Engineer

Pfizer’s Chief Digital Office (CDO) leads the transformation of Pfizer into a digital powerhouse that will generate patient superior experiences which results in better health outcomes.

The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization, is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.

Part of the Analytics Experience team are a group of Platform Engineers who are responsible for managing components that form the enterprise analytics platform. The enterprise analytics platform will be the digital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation. It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture.

In this role, you will act as an engineer expert for the Data Science platform that serves a diverse group of colleagues – ranging from novice business analysts to expert data scientists – across the enterprise. The role will require the ability to flex between technical engineering of the platform and hands on working knowledge creating data science applications as a user of the platform.

You may have a software development background, or an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, support resources, delivery partners, Pfizer stakeholders, and apply emerging and traditional technologies for analytics improvements in support of enterprise analytics platform strategy.

ROLE RESPONSIBILITIES

• With supervision, you will support the operations of multiple Dataiku DSS environments globally – and supporting self-service tenants
• Resolve critical support issues with a high degree of technical complexity.
• Document knowledge in the form of incident notes, technical articles, and contributions to knowledge bases or forums within specific areas of expertise.
• Partner with User Success team to maintain key informational content, drive platform adoption, and champion a strong user community
• Collaborate with engineering and support teams on platform lifecycle management
• Develop and maintain operational run-books and training curricula for support teams
• Directly engage and communicate with key business and technical stakeholders

BASIC QUALIFICATIONS

• BS in computer science, data science, /or an engineering/quantitative field.
• At least 3 years of professional experience
• Experience with engineering or technical role experience, ideally involving a complex and rapidly evolving software/product
• Comfort working with and reading code.
• Grit when faced with technical issues - you don't rest until you understand what is happening and why things are not working.
• Excellent problem solving and analytical skills with an aptitude for learning new technologies.
• Strong communication skills and the ability to interface with both technical and non-technical individuals as needed.
• Some experience with Linux system administration experience
• Hands-on experience with DevOps and information tools – e.g., JIRA, Confluence, SharePoint, Yammer, etc.

PREFERRED QUALIFICATIONS

• Experience with big data technologies, such as Hadoop, Spark, or Kubernetes.
• Experience with cloud platforms such as AWS, Azure, and GCP
• Some knowledge of data science / machine learning
• Some knowledge of Java
• Some experience working with at least one type of relational database and SQL.
• Some experience with python

Work Location Assignment: Flexible

Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.