Data Architect
Amgen
Data Architect
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives for Corporate Functions data architecture
- Collaborating closely with business clients and key stakeholders to align solutions with strategic objectives
- Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities for Corporate Functions data architecture
- Establish and enforce architectural standards, policies, and governance frameworks
- Evaluate emerging technologies and assess their potential impact on the solution architecture
- Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient
- Maintain comprehensive documentation of the architecture, including principles, standards, and models
- Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency
- Work with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needs
- Evaluate and recommend technologies and tools that best fit the solution requirements for Corporate Functions Data needs
- Ensure seamless integration between systems and platforms, both within the organization and with external partners
- Design systems that can scale to meet growing business needs and performance demands
- Design and manage metadata structures to enhance information retrieval and usability
What we expect of you
- Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field AND 9+ years of relevant work experience
- Databricks Certified (preferred)
- AWS Certified Data Engineer (preferred)
Must-Have Skills
- Strong architectural design and modeling skills
- Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
- Experience with data warehousing platforms such as Amazon Redshift, or Snowflake
- Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases
- Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets
- Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment
- Strong solution design and problem-solving skills
- Strong understanding of data modeling, data warehousing, and data integration concepts
- Understanding of machine learning pipelines and frameworks for ML/AI models
- Experience in developing differentiated and deliverable solutions
- Excellent critical-thinking and problem-solving skills
- Strong communication and collaboration skills
- Demonstrated awareness of how to function in a team setting
- Demonstrated awareness of presentation skills
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
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
- Strong architectural design and modeling skillsintermediate
- Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processingintermediate
- Experience with data warehousing platforms such as Amazon Redshift, or Snowflakeintermediate
- Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databasesintermediate
- Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasetsintermediate
- Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environmentintermediate
- Strong solution design and problem-solving skillsintermediate
- Strong understanding of data modeling, data warehousing, and data integration conceptsintermediate
- Understanding of machine learning pipelines and frameworks for ML/AI modelsintermediate
- Experience in developing differentiated and deliverable solutionsintermediate
- Excellent critical-thinking and problem-solving skillsintermediate
- Strong communication and collaboration skillsintermediate
- Demonstrated awareness of how to function in a team settingintermediate
- Demonstrated awareness of presentation skillsintermediate
Required Qualifications
- Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field AND 9+ years of relevant work experience (experience)
- Databricks Certified (preferred) (experience)
- AWS Certified Data Engineer (preferred) (experience)
Responsibilities
- Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives for Corporate Functions data architecture
- Collaborating closely with business clients and key stakeholders to align solutions with strategic objectives
- Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities for Corporate Functions data architecture
- Establish and enforce architectural standards, policies, and governance frameworks
- Evaluate emerging technologies and assess their potential impact on the solution architecture
- Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient
- Maintain comprehensive documentation of the architecture, including principles, standards, and models
- Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency
- Work with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needs
- Evaluate and recommend technologies and tools that best fit the solution requirements for Corporate Functions Data needs
- Ensure seamless integration between systems and platforms, both within the organization and with external partners
- Design systems that can scale to meet growing business needs and performance demands
- Design and manage metadata structures to enhance information retrieval and usability
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Data Architect
Amgen
Data Architect
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives for Corporate Functions data architecture
- Collaborating closely with business clients and key stakeholders to align solutions with strategic objectives
- Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities for Corporate Functions data architecture
- Establish and enforce architectural standards, policies, and governance frameworks
- Evaluate emerging technologies and assess their potential impact on the solution architecture
- Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient
- Maintain comprehensive documentation of the architecture, including principles, standards, and models
- Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency
- Work with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needs
- Evaluate and recommend technologies and tools that best fit the solution requirements for Corporate Functions Data needs
- Ensure seamless integration between systems and platforms, both within the organization and with external partners
- Design systems that can scale to meet growing business needs and performance demands
- Design and manage metadata structures to enhance information retrieval and usability
What we expect of you
- Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field AND 9+ years of relevant work experience
- Databricks Certified (preferred)
- AWS Certified Data Engineer (preferred)
Must-Have Skills
- Strong architectural design and modeling skills
- Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processing
- Experience with data warehousing platforms such as Amazon Redshift, or Snowflake
- Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databases
- Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasets
- Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment
- Strong solution design and problem-solving skills
- Strong understanding of data modeling, data warehousing, and data integration concepts
- Understanding of machine learning pipelines and frameworks for ML/AI models
- Experience in developing differentiated and deliverable solutions
- Excellent critical-thinking and problem-solving skills
- Strong communication and collaboration skills
- Demonstrated awareness of how to function in a team setting
- Demonstrated awareness of presentation skills
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
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
- Strong architectural design and modeling skillsintermediate
- Proficiency in Python, PySpark, and Scala for data processing and ETL (Extract, Transform, Load) workflows, with hands-on experience in using Databricks for building ETL pipelines and handling big data processingintermediate
- Experience with data warehousing platforms such as Amazon Redshift, or Snowflakeintermediate
- Strong knowledge of SQL and experience with relational (e.g., PostgreSQL, MySQL) databasesintermediate
- Familiarity with big data frameworks like Apache Hadoop, Spark, and Kafka for handling large datasetsintermediate
- Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environmentintermediate
- Strong solution design and problem-solving skillsintermediate
- Strong understanding of data modeling, data warehousing, and data integration conceptsintermediate
- Understanding of machine learning pipelines and frameworks for ML/AI modelsintermediate
- Experience in developing differentiated and deliverable solutionsintermediate
- Excellent critical-thinking and problem-solving skillsintermediate
- Strong communication and collaboration skillsintermediate
- Demonstrated awareness of how to function in a team settingintermediate
- Demonstrated awareness of presentation skillsintermediate
Required Qualifications
- Master’s degree or Bachelor’s degree in Computer Science, Business, Engineering, IT or related field AND 9+ years of relevant work experience (experience)
- Databricks Certified (preferred) (experience)
- AWS Certified Data Engineer (preferred) (experience)
Responsibilities
- Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectives for Corporate Functions data architecture
- Collaborating closely with business clients and key stakeholders to align solutions with strategic objectives
- Create and maintain architectural roadmaps that guide the evolution of IT systems and capabilities for Corporate Functions data architecture
- Establish and enforce architectural standards, policies, and governance frameworks
- Evaluate emerging technologies and assess their potential impact on the solution architecture
- Identify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilient
- Maintain comprehensive documentation of the architecture, including principles, standards, and models
- Drive continuous improvement in the architecture by finding opportunities for innovation and efficiency
- Work with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needs
- Evaluate and recommend technologies and tools that best fit the solution requirements for Corporate Functions Data needs
- Ensure seamless integration between systems and platforms, both within the organization and with external partners
- Design systems that can scale to meet growing business needs and performance demands
- Design and manage metadata structures to enhance information retrieval and usability
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories