University of California San Diego
Location
La Jolla, CA | United States
Job description
Special Selection Applicants : Apply by 02/28/24. Eligible Special Selection clients should contact their Disability Counselor for assistance.
This position will work a hybrid schedule which includes a combination of working both onsite at Towne Centre Drive and remote.
This position will remain open until filled.
We are seeking a highly skilled Principal Data Architect with cutting-edge data engineering experience to lead the design and implementation of cloud analytics solutions utilizing novel tools like Microsoft Fabric, Azure Data Factory, Databricks, and Amazon Redshift, Google BigQuery, Snowflake, and Apache. The goal is to evolve the current SQL Server and cloud databases into a state-of-the-art data HIPAA secure platform to meet organizational strategic and tactical needs for the next decade. This strategic role is essential in developing a modular, integrated, and real-time infrastructure designed to support the growing array of analytical and data science tools while ensuring data integrity through efficient cleansing, transformation, storage, and monitoring processes.
As a Principal Data Architect (Clinical Informatics Specialist 5), this individual will regularly lead organization-critical data initiatives, including approaches and managing policies, workflows, and assets. This role is responsible for initiating, organizing, and directing wide-ranging projects across technical and operational departments aimed at achieving objectives and targets in clinical and operational information management. This includes advanced measurements and data analysis to deliver precise, dependable information for strategic decision-making.
The Principal Data Architect will also assess anticipated needs of the organization and align the needs into an extensible architecture. This also includes assessing the technology roadmaps of critical data vendors (e.g., Epic, AWS, Azure, etc.) and developing plans to align our architectural roadmap with theirs. This role will also closely liaise with UC San Diego Health technology vendors to co-design, co-develop, pilot, and evaluate new data technology products. This position is pivotal in ensuring that our current and future data architecture supports our strategic objectives by providing a foundation for advanced analytics across the organization.
Key Responsibilities:
Lead the Evolution of Data Platforms: Spearhead the design and implementation of cloud analytics solutions utilizing tools like Microsoft Fabric, Azure Data Factory, Databricks, Amazon Redshift, Google BigQuery, Snowflake, and Apache to evolve SQL Server and cloud databases into a state-of-the-art, HIPAA-secure data platform.
Architectural Design and Integration: Architect and build a versatile, integrated, and real-time data platform, ensuring modular infrastructure supports an array of analytical and data science tools. This includes ensuring data integrity through efficient cleansing, transformation, storage, and monitoring processes.
Strategic Initiatives and Analytics Vision: Lead organization-critical data initiatives to meet strategic and tactical needs, including the deployment of Microsoft Fabric for seamless data management and utilizing advanced measurements and data analysis for strategic decision-making.
Interdepartmental Collaboration and Leadership: Initiate, organize, and direct wide-ranging projects across technical and operational departments, serving as a key liaison with the Enterprise Systems and Data Integration team, application teams, and operational/nursing/physician leaders, while closely liaising with UC San Diego Health technology vendors.
Technology Assessment and Roadmap Alignment: Assess the technology roadmaps of critical data vendors and develop plans to align the architectural roadmap with theirs. Implement, manage, and automate database code deployment from GitHub.
Ensure Efficient Data Storage and Optimization: Guarantee efficient data storage by prioritizing data cleanliness and optimized transformation for analytical uses in various forms, including relational databases for structured data, dimensional models (such as cubes and slicers) for exploratory analysis, and ultra-wide formats to facilitate machine learning and artificial intelligence applications.
Data Platform Support and Optimization: Drive initiatives to support various data types and structures, guarantee efficient data storage, and ensure solutions exhibit high levels of performance, security, scalability, and reliability.
Collaboration and Requirement Gathering: Collaborate with
About University of California San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 8 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom - life is their laboratory. UC San Diego's rich academic portfolio includes six undergraduate colleges, five academic divisions and five graduate and professional schools. The university's award-winning scholars are experts at the forefront of their fields with an impressive track record for achieving scientific, medical and technological breakthroughs.
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