Job
Description
As an Engineering Manager (Data Engineering) at Amgen, you will play a crucial role in driving the development and implementation of the data strategy with deep expertise in the R&D of Biotech or Pharma domain. Your responsibilities will include leading and mentoring a team of data engineers to build, optimize, and maintain scalable data architectures, data pipelines, and operational frameworks that support real-time analytics, AI-driven insights, and enterprise-wide data solutions. Your technical expertise, team leadership, and understanding of cloud data solutions will be essential in optimizing data-driven decision-making. **Roles & Responsibilities:** - Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning for solving complex problems in the R&D division. - Oversee the development of data extraction, validation, and transformation techniques to ensure high-quality ingested data compatible with downstream systems. - Guide the team in writing and validating high-quality code for data ingestion, processing, and transformation, ensuring resiliency and fault tolerance. - Drive the development of data tools and frameworks for efficient data management and access across the organization. - Implement performance monitoring protocols across data pipelines to ensure real-time visibility, alerts, and automated recovery mechanisms. - Coach engineers in building dashboards and aggregations to monitor pipeline health and detect inefficiencies for optimal performance and cost-effectiveness. - Lead the implementation of self-healing solutions to reduce failure points and improve pipeline stability across multiple product features. - Oversee data governance strategies to ensure compliance with security policies, regulations, and data accessibility best practices. - Collaborate with business leaders, product owners, and cross-functional teams to align data architecture with product requirements and business objectives. - Drive Agile and Scaled Agile (SAFe) methodologies to enhance team velocity and project delivery through sprint backlogs, prioritization, and iterative improvements. - Stay updated with emerging data technologies, industry trends, and best practices to leverage the latest innovations in data engineering and architecture. **Functional Skills:** **Must-Have Skills:** - Experience managing a team of data engineers in the R&D domain of biotech/pharma companies. - Experience architecting and building data and analytics solutions from multiple source systems. - Data Engineering experience in R&D for Biotechnology or Pharma industry. - Hands-on experience with cloud platforms (AWS) to architect cost-effective and scalable data solutions. - Proficiency in Python, PySpark, SQL. - Experience with dimensional data modeling. - Working with Apache Spark, Apache Airflow. - Software engineering best practices including version control, CI/CD, automated unit testing, and DevOps. - Experience with AWS, GCP, or Azure cloud services. - Understanding of the end-to-end project/product life cycle. - Full stack development & DataOps automation, logging frameworks, and pipeline orchestration tools. - Strong analytical and problem-solving skills. - Effective communication and interpersonal skills. **Good-to-Have Skills:** - Data Engineering Management experience in Biotech/Pharma. - Experience with graph databases such as Stardog, Marklogic, Neo4J, Allegrograph, etc. **Education and Professional Certifications:** - Masters degree with 10-12+ years of experience in Computer Science, IT, or related field OR Bachelors degree with 8-10+ years of experience in Computer Science, IT, or related field. - AWS Certified Data Engineer preferred. - Databricks Certificate preferred. - Scaled Agile SAFe certification preferred. - Project Management certifications preferred. **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. As an Engineering Manager (Data Engineering) at Amgen, you will play a crucial role in driving the development and implementation of the data strategy with deep expertise in the R&D of Biotech or Pharma domain. Your responsibilities will include leading and mentoring a team of data engineers to build, optimize, and maintain scalable data architectures, data pipelines, and operational frameworks that support real-time analytics, AI-driven insights, and enterprise-wide data solutions. Your technical expertise, team leadership, and understanding of cloud data solutions will be essential in optimizing data-driven decision-making. **Roles & Responsibilities:** - Lead and mentor a team of data engineers, fostering a culture of innovati
