Principal Data Engineer

At Amgen, we believe every challenge is an opportunity to change lives. Our mission to serve patients with serious illnesses drives everything we do. For over 40 years, we've been at the forefront of biotechnology, using cutting-edge technology and human genetic data to push the boundaries of what's known. Join us, and you'll be part of a collaborative, innovative, and science-based culture, helping to research, manufacture, and deliver innovative medicines that enable people to live longer, fuller, and happier lives.

Lead, Modern Data Engineering

Roles & Responsibilities

• Architect and Implement

  scalable, high-performance Modern Data Engineering solutions (applications) that include data analysis, data ingestion, storage, data transformation (data pipelines), and analytics.

• Evaluate new trends

  in the data engineering area and build rapid prototypes.
• Build

  Data Solution Architectures and Frameworks

  to accelerate Data Engineering processes.
• Develop frameworks to improve

  reusability

  , reduce development time and cost of data management governance.

• Integrate AI into data engineering practices

  to bring efficiency through automation.
• Build

  best practices in Data Engineering capability

  and ensure their adoption across product teams.
• Build and nurture strong relationships with stakeholders, emphasizing

  value-focused engagement and partnership

  to align data initiatives with broader business goals.

• Lead and motivate a high-performing data engineering team

  to deliver exceptional results.
• Provide

  expert guidance and mentorship

  to the data engineering team, fostering a culture of innovation and best practices.
• Collaborate with counterparts in the US and EU and work with business functions, functional IT teams, and others to understand their data needs and ensure solutions meet requirements.
• Engage with business stakeholders to understand their needs and priorities, ensuring that data and analytics solutions built deliver real value and meet business objectives.
• Drive adoption of data and analytics solutions by partnering with business stakeholders and functional IT teams in rolling out

  change management, trainings, communications

  , etc.

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.

Recruitment & Team Expansion

• Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development.
• Build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities.

Organizational Leadership

• Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives.
• Demonstrate leadership by contributing to strategic discussions.

What We Expect of You

Modern Data Engineering Lead

Basic Qualifications:

• Master's degree

  and 8 to 10 years of computer science and engineering preferred (other Engineering fields will be considered),

  OR

• Bachelor's degree

  and 12 to 14 years of computer science and engineering preferred (other Engineering fields will be considered),

  OR

• Diploma

  and 16 to 18 years of computer science and engineering preferred (other Engineering fields will be considered).

• 10+ years of experience in Data Engineering

  , working in COE development or product building.

• 5+ years of experience in leading enterprise-scale data engineering solution development.

• Experience building enterprise-scale

  data lake, data fabric solutions on cloud

  leveraging modern approaches like

  Data Mesh

  .
• Demonstrated proficiency in leveraging

  cloud platforms (AWS, Azure, GCP)

  for data engineering solutions.
• Strong understanding of

  cloud architecture principles and cost optimization strategies.

• Hands-on experience using

  Databricks, Snowflake, PySpark, Python, SQL

  .
• Proven ability to lead and develop

  high-performing data engineering teams.

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

Preferred Qualifications:

• Experience in

  integrating AI with Data Engineering

  and building AI-ready data lakes.
• Prior experience in

  data modeling

  , especially star-schema modeling concepts.
• Familiarity with

  ontologies, information modeling, and graph databases.

• Experience working with

  agile development methodologies

  such as Scaled Agile.
• 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 DevOps.

Education and Professional Certifications:

• SAFe for Teams certification (preferred).
• Databricks certifications.
• AWS cloud certification.

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.