What are the responsibilities and job description for the Senior Data Architect PennDNA position at Pennsylvania Medicine?
Penn Medicine is dedicated to our tripartite mission of providing the highest level of care to patients, conducting innovative research, and educating future leaders in the field of medicine. Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.
Today at Penn Medicine, someone will make a breakthrough. Someone will heal a heart, deliver hopeful news, and give comfort and reassurance. Our employees shape our future each day. Are you living your life's work?
Entity- Corporate
Department- PennDnA Data Management and Operations
Location- 3600 Civic Center Blvd. Philadelphia, PA
Hours-M-F, Hybrid
Summary :
The Senior Data Architect will be responsible for designing and implementing robust data architecture solutions to support PennDnA's data management and analytics initiatives. The ideal candidate will have a strong background in data architecture, database design, and data modeling, with experience in healthcare data management and analytics.
Responsibilities :
- Data Architecture Design : Design and develop scalable, reliable, and high-performance data architecture solutions to support the organization's data management and analytics needs. Define data architecture standards, best practices, and guidelines to ensure consistency, quality, and efficiency in data management processes.
- Database Design and Optimization : Design and implement database schemas, tables, views, and indexes to support efficient data storage, retrieval, and analysis.
- Data Modeling and Metadata Management : Develop and maintain conceptual, logical, and physical data models and dataflow diagrams to represent the organization's data assets and relationships. Develop metadata management, glossary and cataloging processes to capture and maintain metadata definitions, lineage, and usage information for data assets.
- Data Integration and ETL : Design and implement data integration solutions to consolidate and integrate data from disparate sources, including electronic health records (EHR), clinical systems, research databases, and external sources. Consult with Data Engineers to guide development of ETL / ELT processes and data pipelines.
- Data Governance and Security : Define data governance policies, procedures, and standards to ensure the integrity, confidentiality, and availability of healthcare data assets. Implement data security controls and access management mechanisms to protect sensitive healthcare information from unauthorized access, disclosure, or misuse.
- Collaboration : Collaborate with cross-functional teams to define project requirements and develop solutions that meet organizational needs. Mentor junior members of the team, fostering a culture of continuous learning and innovation within the team.
- Continuous Improvement : Demonstrate a commitment to continuous learning and professional development. Stay current with industry trends, best practices, and emerging technologies in data architecture, data management and ETL processes. Look for opportunities to optimize the team's processes and workflows.
Education or Equivalent Experience :
Skills / Abilities :
We believe that the best care for our patients starts with the best care for our employees. Our employee benefits programs help our employees get healthy and stay healthy. We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.
Live Your Life's Work
We are an Equal Opportunity and Affirmative Action employer. Candidates are considered for employment without regard to race, ethnicity, color, sex, sexual orientation, gender identity, religion, national origin, ancestry, age, disability, marital status, familial status, genetic information, domestic or sexual violence victim status, citizenship status, military status, status as a protected veteran or any other status protected by applicable law.
