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.
We're seeking a passionate and driven Lead, Modern Data Engineering to join our team in Hyderabad. You'll thrive in ambiguity, capable of driving digital procurement initiatives with precision and purpose. You will collaborate with cross-functional teams, including platform, functional IT, and business stakeholders, ensuring that the solutions built align with business goals and are scalable, secure, and efficient.
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
We are all different, yet we all use our unique contributions to serve patients. The Modern Data Engineering Lead we seek is a visionary and hands-on leader with these qualifications:
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.
