Principal Data Architect

Lets do this. Lets change the world. In this vital role you will manage and oversee the development of robust Data Architectures, Platforms, Frameworks, Data product Solutions, while mentoring and guiding a small team of data engineers & architects. You will be responsible for leading the development, implementation, and management of enterprise-level data engineering frameworks and solutions 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 build enterprise scale data frameworks and 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:

• Architect & Implement scalable, high-performance, Enterprise ScaleModern Data Platforms & applications that include data analysis, data ingestion, storage, data transformation (data pipelines), and analytics.

• Evaluate the new trends & features in data platforms 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 best practices in Data Platforms capability and ensure their adoption across the 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 platforms 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 platforms & 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

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications.

Basic Qualifications:

• 12 to 17 years with computer science and engineering preferred, other Engineering fields will be considered

• 10+ years of experience in building Data Platforms, Data Engineering, working in COE development or product building

• 5+ years of Hands-on experience working with Big Data Platforms & Solutions using AWS and Databricks

• 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, 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 Platforms & Engineering and building AI ready data platforms

• 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.

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.