Responsible for design, develop, optimize, delivery and support of Data solutions on AWS and Databricks architecture
Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
Provide expert guidance and mentorship to the team members, fostering a culture of innovation and best practices.
Be passionate and hands-on to quickly experiment with new data related technologies
Define guidelines, standards, strategies, security policies and change management policies to support the Enterprise Data platform.
Collaborate and align with EARB, Cloud Infrastructure, Security and other technology leaders on Enterprise Data Architecture changes
Work with different project and application groups to drive growth of the Enterprise Data Platform using effective written/verbal communication skills, and lead demos at different roadmap sessions
Overall management of the Enterprise Data Platform on AWS environment to ensure that the service delivery is cost effective and business SLAs around uptime, performance and capacity are met
Ensure scalability, reliability, and performance of data platforms by implementing best practices for architecture, cloud resource optimization, and system tuning.
Collaboration with RunOps engineers to continuously increase our ability to push changes into production with as little manual overhead and as much speed as possible.
Maintain knowledge of market trends and developments in data integration, data management and analytics software/tools
Work as part of team in a SAFe Agile/Scrum model
Basic Qualifications and Experience
Master’s degree with 12 - 15 years of experience in Computer Science, IT or related field OR
Bachelor’s degree with 14 - 17 years of experience in Computer Science, IT or related field
Functional Skills
Must-Have Skills
8+ years of hands-on experience in Data integrations, Data Management and BI technology stack.
Strong experience with one or more Data Management tools such as AWS data lake, Snowflake or Azure Data Fabric
Expert-level proficiency with Databricks and experience in optimizing data pipelines and workflows in Databricks environments.
Strong experience with Python, PySpark, and SQL for building scalable data workflows and pipelines.
Experience with Apache Spark, Delta Lake, and other relevant technologies for large-scale data processing.
Familiarity with BI tools including Tableau and PowerBI
Demonstrated ability to enhance cost-efficiency, scalability, and performance for data solutions
Strong analytical and problem-solving skills to address complex data solutions
Good-to-Have Skills
Preferred to have experience in life science or tech or consultative solution architecture roles
Experience working with agile development methodologies such as Scaled Agile.
Professional Certifications
AWS Certified Data Engineer preferred
Databricks Certificate 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.
EQUAL OPPORTUNITY STATEMENT
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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