Principal Data Architect
Amgen
Principal Data Architect
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Manage and oversee the development of robust Data Architectures, Platforms, Frameworks, Data product Solutions
- Mentor and guide a small team of data engineers & architects
- Lead the development, implementation, and management of enterprise-level data engineering frameworks and solutions
- Collaborate with cross-functional teams, including platform, functional IT, and business stakeholders
- Architect & Implement scalable, high-performance, Enterprise Scale Modern 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
- 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
- Engage with business stakeholders to understand their needs and priorities
- Drive adoption of the data and analytics platforms & Solutions by partnering with the business stakeholders and functional IT teams
- Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation
- Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development
- Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives
What we expect of you
- 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
- Experience in Integrating AI with Data Platforms & Engineering and building AI ready data platforms (Preferred)
- Prior experience in data modeling especially star-schema modeling concepts (Preferred)
- Familiarity with ontologies, information modeling, and graph databases (Preferred)
- Experience working with agile development methodologies such as Scaled Agile (Preferred)
- 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 (Preferred)
- SAFe for Teams certification (preferred)
- Databricks certifications (Preferred)
- AWS cloud certification (Preferred)
Must-Have 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
- Support for professional and personal growth and well-being
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- 12 to 17 years with computer science and engineering preferred, other Engineering fields will be considered (experience)
- 10+ years of experience in building Data Platforms, Data Engineering, working in COE development or product building (experience)
- 5+ years of Hands-on experience working with Big Data Platforms & Solutions using AWS and Databricks (experience)
- 5+ years of experience in leading enterprise scale data engineering solution development (experience)
- Experience building enterprise scale data lake, data fabric solutions on cloud leveraging modern approaches like Data Mesh (experience)
- Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions (experience)
- Strong understanding of cloud architecture principles and cost optimization strategies (experience)
- Hands-on experience using Databricks, PySpark, Python, SQL (experience)
- Proven ability to lead and develop high-performing data engineering teams (experience)
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges (experience)
- Experience in Integrating AI with Data Platforms & Engineering and building AI ready data platforms (Preferred) (experience)
- Prior experience in data modeling especially star-schema modeling concepts (Preferred) (experience)
- Familiarity with ontologies, information modeling, and graph databases (Preferred) (experience)
- Experience working with agile development methodologies such as Scaled Agile (Preferred) (experience)
- 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 (Preferred) (experience)
- SAFe for Teams certification (preferred) (experience)
- Databricks certifications (Preferred) (experience)
- AWS cloud certification (Preferred) (experience)
Responsibilities
- Manage and oversee the development of robust Data Architectures, Platforms, Frameworks, Data product Solutions
- Mentor and guide a small team of data engineers & architects
- Lead the development, implementation, and management of enterprise-level data engineering frameworks and solutions
- Collaborate with cross-functional teams, including platform, functional IT, and business stakeholders
- Architect & Implement scalable, high-performance, Enterprise Scale Modern 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
- 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
- Engage with business stakeholders to understand their needs and priorities
- Drive adoption of the data and analytics platforms & Solutions by partnering with the business stakeholders and functional IT teams
- Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation
- Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development
- Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
- general: Support for professional and personal growth and well-being
Tags & Categories
Principal Data Architect
Amgen
Principal Data Architect
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Manage and oversee the development of robust Data Architectures, Platforms, Frameworks, Data product Solutions
- Mentor and guide a small team of data engineers & architects
- Lead the development, implementation, and management of enterprise-level data engineering frameworks and solutions
- Collaborate with cross-functional teams, including platform, functional IT, and business stakeholders
- Architect & Implement scalable, high-performance, Enterprise Scale Modern 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
- 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
- Engage with business stakeholders to understand their needs and priorities
- Drive adoption of the data and analytics platforms & Solutions by partnering with the business stakeholders and functional IT teams
- Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation
- Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development
- Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives
What we expect of you
- 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
- Experience in Integrating AI with Data Platforms & Engineering and building AI ready data platforms (Preferred)
- Prior experience in data modeling especially star-schema modeling concepts (Preferred)
- Familiarity with ontologies, information modeling, and graph databases (Preferred)
- Experience working with agile development methodologies such as Scaled Agile (Preferred)
- 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 (Preferred)
- SAFe for Teams certification (preferred)
- Databricks certifications (Preferred)
- AWS cloud certification (Preferred)
Must-Have 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
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
- Support for professional and personal growth and well-being
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- 12 to 17 years with computer science and engineering preferred, other Engineering fields will be considered (experience)
- 10+ years of experience in building Data Platforms, Data Engineering, working in COE development or product building (experience)
- 5+ years of Hands-on experience working with Big Data Platforms & Solutions using AWS and Databricks (experience)
- 5+ years of experience in leading enterprise scale data engineering solution development (experience)
- Experience building enterprise scale data lake, data fabric solutions on cloud leveraging modern approaches like Data Mesh (experience)
- Demonstrated proficiency in leveraging cloud platforms (AWS, Azure, GCP) for data engineering solutions (experience)
- Strong understanding of cloud architecture principles and cost optimization strategies (experience)
- Hands-on experience using Databricks, PySpark, Python, SQL (experience)
- Proven ability to lead and develop high-performing data engineering teams (experience)
- Strong problem-solving, analytical, and critical thinking skills to address complex data challenges (experience)
- Experience in Integrating AI with Data Platforms & Engineering and building AI ready data platforms (Preferred) (experience)
- Prior experience in data modeling especially star-schema modeling concepts (Preferred) (experience)
- Familiarity with ontologies, information modeling, and graph databases (Preferred) (experience)
- Experience working with agile development methodologies such as Scaled Agile (Preferred) (experience)
- 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 (Preferred) (experience)
- SAFe for Teams certification (preferred) (experience)
- Databricks certifications (Preferred) (experience)
- AWS cloud certification (Preferred) (experience)
Responsibilities
- Manage and oversee the development of robust Data Architectures, Platforms, Frameworks, Data product Solutions
- Mentor and guide a small team of data engineers & architects
- Lead the development, implementation, and management of enterprise-level data engineering frameworks and solutions
- Collaborate with cross-functional teams, including platform, functional IT, and business stakeholders
- Architect & Implement scalable, high-performance, Enterprise Scale Modern 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
- 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
- Engage with business stakeholders to understand their needs and priorities
- Drive adoption of the data and analytics platforms & Solutions by partnering with the business stakeholders and functional IT teams
- Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation
- Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development
- Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
- general: Support for professional and personal growth and well-being
Tags & Categories