 
						Senior Manager Data Engineering
1 day ago
Sr Manager Data Engineering
Career CategoryInformation Systems Job DescriptionJoin 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.
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
Sr Manager Data Engineering
What you do
We are seeking a seasoned Sr Manager of Data Engineering to drive the development and implementation of our data strategy for Manufacturing and Clinical Supply Chain. The ideal candidate possesses a strong blend of technical expertise and data-driven problem-solving skills. As a Sr Manager Data Engineering, you will play a crucial role in leading, designing, building, and optimizing our data pipelines and platforms while mentoring junior engineers.
Roles & Responsibilities:
- Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
- Take ownership of data pipeline projects from inception to deployment, managing scope, timelines, and risks.
- Ensure data quality and integrity through rigorous testing and monitoring.
- Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
- Work closely with data analysts, data scientists, and business stakeholders to understand data requirements.
- Identify and resolve complex data-related challenges.
- Adhere to data engineering best practices and standards.
- Experience developing in an Agile development environment, and comfortable with Agile terminology and ceremonies.
- Familiarity with code versioning using GIT, Jenkins and code migration tools.
- Exposure to Jira.
- Identifying and implementing opportunities for automation and CI/CD.
- Stay up to date with the latest data technologies and trends.
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 12 to 17 years of experience in Computer Science, IT or related field
Functional Skills:
Must-Have Skills:
- 5 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources
- Demonstrated hands-on experience with cloud platforms (AWS, Azure, GCP) and the ability to architect cost-effective and scalable data solutions.
- Proficiency in Python, PySpark, SQL. Hands on experience with big data ETL performance tuning.
- Strong development knowledge in Databricks.
- Strong analytical and problem-solving skills to address complex data challenges.
Preferred Qualifications
Good-to-Have Skills:
- Experienced with data modeling and performance tuning
- Experienced 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
- Experience in SQL/NOSQL database, vector database for large language models
- Experience with prompt engineering, model fine tuning
- Experience with DevOps/MLOps CICD build and deployment pipeline
Professional Certifications :
- AWS Certified Data Engineer (preferred)
- Databricks Certification (preferred)
- Any SAFe Agile certification (preferred)
Soft Skills:
- Initiative to explore alternate technology and approaches to solving problems.
- Skilled in breaking down problems, documenting problem statements, and estimating efforts.
- Effective communication and interpersonal skills to collaborate with cross-functional teams.
- 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.
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.
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