
Principal Solution Architect
- Hyderabad, Telangana
- Permanent
- Full-time
- Implement and manage large scale data analytic solutions to Amgen functional groups that align with the Amgen Data strategy
- Collaborate with Business, Program Management, Data Engineering and Analytic Engineering teams to deliver data solutions
- 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
- 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
- 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
- Preferred to have experience in life science or tech or consultative solution architecture roles
- Experience working with agile development methodologies such as Scaled Agile.
- AWS Certified Data Engineer preferred
- Databricks Certificate preferred
- 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.