Sr Manager, Data Engineering, R&D Data Catalyst Team

What you will do

Lets do this. Lets change the world. In this vital role you will responsible for the design, development, and maintenance of several technology products supporting R&D Precision medicine. These products are principally Data Management and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgens wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These are not transactional solutions but rather visibility solutions that are based on enterprise data mastering, standardization, harmonization, and linking, and federated visibility into multiple data repositories. These solutions are pivotal tools in Amgens goal to accelerate speed to discovery, and speed to market of advanced precision medications.

This hands on leader is responsible for leading a team of data engineers, with the mission to enhancing the long term performance, flexibility, usability, and value of the solutions. This role involves close collaboration with architecture and fellow engineering leaders supporting this product team, and related product teams, along with User representative collaborators to define robust application development standards and engineering patterns.

The ideal candidate has strong experience in the development of software solutions that support multiple customer groups, with a product approach. The successful leader will have advanced data management background, with exceptional data profiling background, designing data mastering and transformation features, and presentation of data through various visualization approaches. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime The role requires exceptional communication skills, and a deep understanding of Agile methodologies.

Roles & Responsibilities:

• Take ownership of complex software projects from conception to deployment
• Manage software delivery scope, risk, and timeline
• Possesses strong rapid prototyping skills and can quickly translate concepts into working code
• Provide technical guidance and mentorship to junior developers
• Contribute to both front-end and back-end development using cloud technology
• Develop innovative solution using generative AI technologies
• Conduct code reviews to ensure code quality and adherence to standard methodologies
• Create and maintain documentation on software architecture, design, deployment, disaster recovery, and operations
• Identify and resolve technical challenges effectively
• Stay updated with the latest trends and advancements
• Work closely with product team, business team, and other collaborators
• Design, develop, and implement applications and modules, including custom reports, interfaces, and enhancements
• Analyze and understand the functional and technical requirements of applications, solutions and systems and translate them into software architecture and design specifications
• Develop and execute unit tests, integration tests, and other testing strategies to ensure the quality of the software
• Identify and resolve software bugs and performance issues
• Work closely with cross-functional teams, including product management, design, and QA, to deliver high-quality software on time
• Maintain detailed documentation of software designs, code, and development processes
• Design features with flexibility to meet many use cases via configurable settings, user permissions, and other such design patterns
• Work on integrating with other systems and platforms to ensure seamless data flow and functionality
• Provide ongoing support and maintenance for applications, ensuring that they operate smoothly and efficiently
• Work with large datasets to preprocess, clean, and transform data for into standardized, connected data sets
• Design semantic layers that bring raw data to report-ready consumption models
• Evaluate and optimize solution performance using appropriate metrics
• Design and implement systems and processes to improve the reliability, scalability, and performance of applications
• Automate routine operational tasks, such as deployments, monitoring, and incident response, to improve efficiency and reduce human error
• Develop and maintain monitoring tools and dashboards to track system health, performance, and availability
• Respond to and resolve incidents promptly, conducting root cause analysis and implementing preventive measures
• Provide ongoing maintenance and support for existing systems, ensuring that they are secure, efficient, and reliable
• Work on integrating various software applications and platforms to ensure seamless operation across the organization
• Implement and maintain security measures to protect systems from unauthorized access and other threats

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Masters degree with 8 - 10 years of experience in Computer Science, IT or related field OR
• Bachelors degree with 10 - 14 years of experience in Computer Science, IT or related field OR
• Diploma with 14 - 18 years of experience in Computer Science, IT or related field
• Advanced SQL skills, including design of complex views and store procedures
• Advanced data architecture specifically for change data capture and data warehouse patterns
• Strong experience with enterprise use of data visualization platforms such as PowerBI, Business Objects, and Cognos
• Strong understanding of software development methodologies, including Agile and Scrum

Preferred Qualifications:

• Strong experience with Databricks
• Experience with version control systems like Git
• Hands on experience with Full Stack software development.
• Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes)
• Experience in developing differentiated and deliverable solutions
• Experience with human data, ideally human healthcare data
• Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management

Professional Certifications

• SAFe Agile Practitioner (6.0)
• SQL certification as appropriate (preferred)
• Databricks certification as appropriate (preferred)

Soft Skills:

• Excellent analytical and troubleshooting skills
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Deep intellectual curiosity, particularly about data patterns, and learning about business processes and life of the user
• Strong problem solving, analytical skills;
• Ability to learn quickly and retain and synthesize complex information from diverse sources
• Highest degree of initiative and self-motivation
• Strong verbal and written communication skills, including presentation of varied audiences through complex technical/business topics
• Confidence in leading teams through prioritization and sequencing discussions, including managing stakeholder expectations
• Ability to work effectively with global, virtual teams, specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones