Principal Data Platform Architect

What you will do

• Implement and handle cloud data platform and technical road maps of the platform that align with the Amgen Data strategy on AWS cloud
• Be responsible for delivery and support of Enterprise Data Fabric platform on AWS and Databricks architecture
• Design, develop, test, implement, and support of enterprise shared components using technologies like Python / Angular / AWS and Spark
• Work with different project and application groups to drive growth of the Enterprise Data Fabric using effective written/verbal communication skills, and lead demos at different roadmap sessions
• Overall management of the Enterprise Data Fabric on AWS environment to ensure that the service delivery is cost effective and business SLAs around uptime, performance and capacity are met
• Help define guidelines, standards, strategies, security policies and change management policies to support the Enterprise Data Fabric platform.
• Research and evaluate technical solutions in Data Management Technologies, Data Discovery, Data integration and analytical tools with a focus on enterprise deployment capabilities like security, scalability, reliability, maintainability, etc.
• Advice and support Application teams (product managers, architects, business analysts, and developers) on tools, technology, and methodology related to the design and development of applications that large data volume and variety of data types
• Maintain knowledge of market trends and developments in cloud data related tools, analytics software, and related and emerging technologies AI/ML
• User interaction and requirements gathering from internal customers and consulting them on standard processes to effectively use cloud data platforms as a data and computing resource; providing management best recommendations and follow on solutions to support programming maintenance and growth to achieve strategic and operational goals
• Work as part of team in a SAFe Agile/Scrum model

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek should have these qualifications.

Basic Qualifications:

• Doctorate degree and 2 years of relevant experience OR
• Masters degree in computer science or engineering field and 8 to 10 years of relevant experience OR
• Bachelors degree in computer science or engineering field and 10 to 14 years of relevant experience OR
• Diploma and 14 to 18 years of computer science and engineering preferred, other Engineering field experience will be considered
• 5+ years of experience working on Cloud Data platforms and Application development.
• 5+ years of experience in leading enterprise scale data and analytics solutions development.
• Hands on development experience with Databricks
• Showed strength in using cloud platforms (AWS, Azure, GCP) for data engineering solutions. Strong understanding of cloud architecture principles and cost optimization strategies. Experience using Databricks, Snowflake, Python, PowerBI, Tableau.
• Expertise in Python, Java/J2EE - preferably full stack development experience
• Proven ability to lead and develop hard-working data platform engineering teams.
• Strong problem-solving, analytical, and critical thinking skills to address sophisticated data challenges.
• Excellent leadership and project management skills, with the ability to handle multiple priorities simultaneously.
• Ability to effectively present information for all levels, and respond to questions from managers, clients, and customers

Preferred Qualifications:

• Experience working with platform and shared service models
• Experience working with Apache Spark, Apache Airflow
• 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)

Soft Skills:

• Excellent analytical and solve skills
• Excellent written and verbal communications skills (English) in translating technology content into business-language at different levels
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to handle multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong problem-solving and analytical skills.
• Strong time and task leadership skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects.