Manager Data Engineering

Career Category

Information Systems

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.

Manager Data Engineering

What you will do

Let’s do this. Let’s change the world. In this vital role you will lead and scale an impactful team of data engineers. This role blends technical depth with strategic oversight and people leadership. The ideal candidate will oversee the execution of data engineering initiatives, collaborate with business analysts and multi-functional teams, manage resource capacity, and ensure delivery aligned to business priorities. In addition to technical competence, the candidate will be adept at managing agile operations and driving continuous improvement.

Roles & Responsibilities:

• Possesses strong rapid prototyping skills and can quickly translate concepts into working code.

• Provide expert guidance and mentorship to the data engineering team, fostering a culture of innovation and standard methodologies.

• Design, develop, and implement robust data architectures and platforms to support business objectives.

• Oversee the development and optimization of data pipelines, and data integration solutions.

• Establish and maintain data governance policies and standards to ensure data quality, security, and compliance.

• Architect and manage cloud-based data solutions, using AWS or other preferred platforms.

• Lead and motivate an impactful data engineering team to deliver exceptional results.

• Identify, analyze, and resolve complex data-related challenges.

• Collaborate closely with business collaborators to understand data requirements and translate them into technical solutions.

• Stay abreast of emerging data technologies and explore opportunities for innovation.

• Lead and manage a team of data engineers, ensuring appropriate workload distribution, goal alignment, and performance management.

• Work closely with business analysts and product collaborators to prioritize and align engineering output with business objectives.

What we expect of you

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

Basic Qualifications:

• Doctorate degree / Master's degree / Bachelor's degree and 8 to 13 years computer science and engineering preferred, other Engineering field is considered

• Demonstrated proficiency in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies.

• Proficient on experience in Python, PySpark, SQL. Handon experience with bid data ETL performance tuning.

• Proven ability to lead and develop impactful data engineering teams.

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

• Strong communication skills for collaborating with business and technical teams alike.

Preferred Qualifications:

• Experienced with data modeling and performance tuning for both OLAP and OLTP databases

• Experienced 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, GCP or Azure cloud services

Professional Certification:

• AWS Certified Data Engineer preferred

• Databricks Certificate preferred

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 manage 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.

.