As a Data Architect for the Precision Medicine Team, you will be responsible for the end-to-end architecture of an enterprise analytics and data mastering solution using Databricks and Power BI. This role requires expertise in both data architecture and analytics, with the ability to create scalable, reliable, and high-performing solutions that support advanced research pipelines and cohort-building. The ideal candidate will have experience creating and surfacing large, unified repositories of human data by integrating information from multiple sources.
Roles & Responsibilities
- Architectural Design: Architect scalable enterprise analytics solutions using Databricks, Power BI, and other modern data tools. You will leverage data virtualization, ETL, and semantic layers to unify data, balancing performance with data transformation.
- Collaboration & Leadership: Collaborate closely with key stakeholders across departments to design and implement data models and ensure best practices for data governance and security. You will serve as a subject matter expert and technical leader, mentoring other teams and presenting architecture strategies.
- Data Modeling & Pipelines: Design robust data models and processing layers that support both analytical and operational reporting needs. You will collaborate with data engineers to build and optimize ETL pipelines, ensuring efficient data ingestion and processing.
- Governance & Best Practices: Develop and implement best practices for data governance, security, and compliance within Databricks and Power BI environments. You will also create robust documentation of architectural direction, patterns, and standards.
- Technology & Innovation: Continuously evaluate and adopt new technologies and methodologies to enhance the architecture and performance of data solutions. You will participate hands-on in pilots and proofs-of-concept for new patterns.
Qualifications
- A Master's degree with 6-8 years of experience, a Bachelor's degree with 8-10 years of experience, or a Diploma with 10-12 years of experience in data management and data solution architecture.
- Minimum of 7 years of hands-on experience building Change-Data-Capture (CDC) ETL pipelines, data warehouse design, 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.
- Expertise in cloud platforms (AWS), data lakes, and data warehouses.
- Proven experience designing and implementing data mastering solutions and data governance frameworks.
- Certifications such as SAFe Agile Practitioner (6.0), Microsoft Certified: Data Analyst Associate (Power BI), and Databricks Certified Professional are preferred.
Soft Skills
- Leadership: Strong technical leadership skills and the ability to mentor and train team members. You should be a confident leader with a high degree of initiative.
- Problem-Solving: Excellent analytical and troubleshooting skills, with a deep intellectual curiosity and the ability to learn quickly.
- Communication: Strong verbal and written communication skills, including the ability to present complex technical topics to varied audiences.
- Collaboration: The ability to work effectively with global, remote teams and successfully manage multiple priorities.
- Domain Knowledge: Experience with human healthcare data, laboratory testing, and clinical trial data management is a plus.
