Data Architect

ABOUT THE ROLE

Role Description:
The R&D Data Catalyst Team is responsible for building Data Searching, Cohort Building, and Knowledge Management tools that provide the Amgen scientific community with visibility to Amgen’s wealth of human datasets, projects and study histories, and knowledge over various scientific findings. These solutions are pivotal tools in Amgen’s goal to accelerate the speed of discovery, and speed to market of advanced precision medications.

Roles & Responsibilities:

- Architect scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools.
- Leverage data virtualization, ETL, and semantic layers to balance need for unification, performance, and data transformation with goal to reduce data proliferation
- Support development planning by breaking down features into work that aligns with the architectural direction runway
- Participate hands-on in pilots and proofs-of-concept for new patterns
- Create robust documentation of architectural direction, patterns, and standards
- Present and train engineers and cross-team collaborators on architecture strategy and patterns
- Collaborate with data engineers to build and optimize ETL pipelines, ensuring efficient data ingestion and processing from multiple sources.
- Design robust data models, and processing layers, that support both analytical processing and operational reporting needs.
- Develop and implement best practices for data governance, security, and compliance within Databricks and Power BI environments.
- Provide thought leadership and strategic guidance on data architecture, advanced analytics, and data mastering best practices.
- Develop and maintain Power BI solutions, ensuring data models and reports are optimized for performance and scalability.
- Collaborate with stakeholders to define data requirements, architecture specifications, and project goals.
- Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions.

Basic Qualifications and Experience:

- Master’s degree with 4 to 6 years of experience in data management and data architecture OR
- Bachelor’s degree with 6 to 8 years of experience in data management and data architecture

Functional Skills:
**Must-Have Skills**:

- Minimum of 3 years of hands-on experience with BI solutions (Preferably Power BI or Business Objects) including report development, dashboard creation, and optimization.
- Minimum of 7 years of hands-on experience building change-data-capture (CDC) ETL pipelines, data warehouse design and build, and enterprise-level data management.
- Hands-on experience with Databricks, including data engineering, optimization, and analytics workloads.
- Deep understanding of Power BI, including model design, DAX, and Power Query.
- Proven experience designing and implementing data mastering solutions and data governance frameworks.
- Expertise in cloud platforms (AWS), data lakes, and data warehouses.
- Strong knowledge of ETL processes, data pipelines, and integration technologies.
- Strong communication and collaboration skills to work with cross-functional teams and senior leadership.
- Ability to assess business needs and design solutions that align with organizational goals.
- Exceptional hands-on capabilities with data profiling, data transformation, data mastering
- Success in mentoring and training team members

**Good-to-Have Skills**:

- Experience in developing differentiated and deliverable solutions
- Experience with human data, ideally human healthcare data
- Familiarity with laboratory testing, patient data from clinical care, HL7, FHIR, and/or clinical trial data management

Professional Certifications (please mention if the certification is preferred or mandatory for the role):

- ITIL Foundation or other relevant certifications (preferred)
- SAFe Agile Practitioner (6.0)
- Microsoft Certified: Data Analyst Associate (Power BI) or related certification.
- Databricks Certified Professional or similar certification.

Soft Skills:

- Excellent analytical and troubleshooting skills
- Deep intellectual curiosity
- Highest degree of initiative and self-motivation
- Strong verbal and written communication skills, including presentation to varied audiences of complex technical/business topics
- Confidence technical leader
- Ability to work effectively with global, virtual teams, specifically including leveraging of tools and artifacts to assure clear and efficient collaboration across time zones
- Ability to manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Strong problem solving, analytical skills;
- Ability to learn quickly and retain and synthesize complex information from diverse sources