Senior Manager Data Engineering

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.

What you will do
Let’s do this. Let’s change the world. We are seeking a seasoned Senior Manager - Data Engineering to lead the design, development, and implementation of our data strategy. The ideal candidate possesses a deep understanding of data engineering principles, coupled with strong leadership and problem-solving skills. As a Senior Manager - Data Engineering, you will manage and oversee the development of robust data and analytic solutions, while mentoring and guiding a team of data engineers. You will be responsible for leading the development, implementation, and management of enterprise-level data and analytics applications that support the organization's data-driven strategic initiatives. You will continuously strive for innovation in the technologies and practices used for data engineering and develop a team of expert data engineers. This role will closely collaborate with counterparts in US and EU. You will collaborate with cross-functional teams, including, platform, functional IT, and business stakeholders, to ensure that the solutions that are built align with business goals and are scalable, secure, and efficient.

Roles & Responsibilities:

Organizational Leadership:Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives and demonstrate leadership by contributing to strategic discussions

Talent Growth & People Leadership:Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation. Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship.

Lead the planning, execution, and delivery of data and analytics solutions, ensuring they are completed on time, within scope, within budget and deliver real value and meet business objectives.

Oversee the architecture, design, and implementation of scalable, high-performance data and analytic solutions (applications) that include data analysis, data ingestion, data transformation (data pipelines), and analytics.

Manage the RunOps for data pipelines and analytics solutions constantly optimizing for reliability and cost optimization.

What we expect of you
We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

Master’s degree with 8 - 10 years of experience in Computer Science, IT or related field OR

Bachelor’s 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

5+ years of experience managing a team of data engineers.

8+ years of experience in leading enterprise scale data and analytics solutions

Excellent leadership and project management skills, with the ability to manage multiple priorities simultaneously.

Experience working with agile development methodologies such as Scaled Agile.

Strong understanding of data modeling, data warehousing, and data integration concepts

Able to mentor team to develop appropriate Data Models for data analytics use cases.

Hands on experience with big data technologies and platforms, such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, performance tuning on big data processing

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

Preferred Qualifications:

Familiarity with ontologies, information modeling, and graph databases.

Experience using graph databases such as Stardog , Marklogic , Neo4J , Allegrograph, etc. and writing SPARQL queries.

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.

Professional Certifications

SAFe for Teams certification (preferred)

Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments)

Soft Skills:

Excellent critical-thinking and problem-solving skills

Strong communication and collaboration skills

Demonstrated awareness of how to function in a team setting

Demonstrated presentation 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.