Data Engineering Manager

Career Category

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Data Engineering Manager

What you will do

Let’s do this. Let’s change the world. In this vital role you will lead a team of data engineers to build, optimize, and maintain scalable data architectures, data pipelines, and operational frameworks that support real-time analytics, AI-driven insights, and enterprise-wide data solutions. As a strategic leader, the ideal candidate will drive best practices in data engineering, cloud technologies, and Agile development, ensuring robust governance, data quality, and efficiency. The role requires technical expertise, team leadership, and a deep understanding of cloud data solutions to optimize data-driven decision-making.

• Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning for solving complex problems of R&D division.

• Oversee the development of data extraction, validation, and transformation techniques, ensuring ingested data is of high quality and compatible with downstream systems.

• Guide the team in writing and validating high-quality code for data ingestion, processing, and transformation, ensuring resiliency and fault tolerance.

• Drive the development of data tools and frameworks for running and accessing data efficiently across the organization.

• Oversee the implementation of performance monitoring protocols across data pipelines, ensuring real-time visibility, alerts, and automated recovery mechanisms.

• Coach engineers in building dashboards and aggregations to monitor pipeline health and detect inefficiencies, ensuring optimal performance and cost-effectiveness.

• Lead the implementation of self-healing solutions, reducing failure points and improving pipeline stability and efficiency across multiple product features.

• Oversee data governance strategies, ensuring compliance with security policies, regulations, and data accessibility best practices.

• Guide engineers in data modeling, metadata management, and access control, ensuring structured data handling across various business use cases.

• Collaborate with business leaders, product owners, and cross-functional teams to ensure alignment of data architecture with product requirements and business objectives.

• Prepare team members for key partner discussions by helping assess data costs, access requirements, dependencies, and availability for business scenarios.

• Drive Agile and Scaled Agile (SAFe) methodologies, handling sprint backlogs, prioritization, and iterative improvements to enhance team velocity and project delivery.

• Stay up-to-date with emerging data technologies, industry trends, and best practices, ensuring the organization uses the latest innovations in data engineering and architecture.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. We are seeking a seasoned Engineering Manager (Data Engineering) to drive the development and implementation of our data strategy with deep expertise in R&D of Biotech or Pharma domain.

Basic Qualifications:

• Doctorate degree OR

• Master’s degree and 4 to 6 years of experience in Computer Science, IT or related field OR

• Bachelor’s degree and 6 to 8 years of experience in Computer Science, IT or related field OR

• Diploma and 10 to 12 years of experience in Computer Science, IT or related field

• Experience leading a team of data engineers in the R&D domain of biotech/pharma companies.

• Experience architecting and building data and analytics solutions that extract, transform, and load data from multiple source systems.

• Data Engineering experience in R&D for Biotechnology or pharma industry

• Demonstrated hands-on experience with cloud platforms (AWS) and the ability to architect cost-effective and scalable data solutions.

• Proficiency in Python, PySpark, SQL.

• Experience with dimensional data modeling.

• Experience working with Apache Spark, Apache Airflow.

• Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops.

• Experienced with AWS or GCP or Azure cloud services.

• Understanding of end to end project/product life cycle

• Well versed with full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools.

• Strong analytical and problem-solving skills to address complex data challenges.

• Effective communication and interpersonal skills to collaborate with cross-functional teams.

Preferred Qualifications:

• AWS Certified Data Engineer preferred

• Databricks Certificate preferred

• Scaled Agile SAFe certification preferred

• Project Management certifications preferred

• Data Engineering Management experience in Biotech/Pharma is a plus

• Experience using graph databases such as Stardog or Marklogic or Neo4J or Allegrograph, etc.

Soft Skills:

• Excellent analytical and troubleshooting skills

• Strong verbal and written communication skills

• Ability to work effectively with global, virtual teams

• High degree of initiative and self-motivation

• Ability to handle multiple priorities successfully

• Team-oriented, with a focus on achieving team goals

• Strong presentation and public speaking skills

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.