Associate Director - Data Engineering

• Oversee the architecture, design, and implementation of scalable, high-performance Modern Data Engineering solutions (applications) that include data analysis, data ingestion, storage, data transformation (data pipelines), and analytics.
• Evaluate the new trends in data engineering area and build rapid prototypes
• Build Data Solution Architectures and Frameworks to accelerate the Data Engineering processes
• Build frameworks to improve the re-usability, reduce the development time and cost of data management & governance
• Integrate AI into data Engineering practices to bring efficiency through automation
• 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 US and EU and work with business functions, functional IT teams, and others to understand their data needs and ensure the solutions meet the 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 the data and analytics solutions by partnering with the 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 and 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 and demonstrate leadership by contributing to strategic discussions

• Master’s degree and 14 to 16 years of computer science and engineering preferred, other Engineering fields will be considered
• Bachelor’s degree and 15 to 18 years of computer science and engineering preferred, other Engineering fields will be considered
• Diploma and 18 to 20 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.

• 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 Dev Ops.
• SAFe for Teams certification (preferred)
• 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.

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.