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Cloud Data Architect

Job in Sacramento, Sacramento County, California, 95828, USA
Listing for: University of California- Davis Health
Full Time position
Listed on 2026-10-13
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst
Salary/Wage Range or Industry Benchmark: 109000 - 224000 USD Yearly USD 109000.00 224000.00 YEAR
Job Description & How to Apply Below
Job Summary

#CA-FT

Senior technical expert who will serve as a primary technical and data architect for the UC Davis Health Databricks Platform to ensure the data architecture, solution delivery and operations is scalable, governed and optimized to support the organization's growing data, analytics and AI workloads.

The individual will bring a high degree of knowledge in the overall field and recognized expertise in the areas of enterprise data warehouse architecture and analytics (e.g., Databricks, SQL Server), data modeling and management, data analysis, data pipeline and ELT/ETL development at the Health System. This includes, but is not limited to, the design, development and support of complex mission-critical cloud data warehouses, data lakes, data lake houses and supporting application software.

Incumbent will have a leadership role as a Senior Data Architect working on highly technical, complex application projects such as the Data warehouses on Databricks, Clinical and non-Clinical data marts, Advanced Cloud computing, AI/Machine Learning models and applications. Will design and implement end to end data architecture, data models to support analytics. Will design and implement security and access models along with shaping data access policies and process.

Design and implement data engineering pipelines, including ingestion from Epic (Clarity/Caboodle/FHIR), HL7, other clinical and operational systems. Shape cost optimization and Fin Op practices for the data components with proactive monitoring and alerting. Evaluate and implement new platform capabilities on Databricks aligned to organizational priorities. Partner with data consumers such as analytics, applications, research, data science teams to design and implement patterns for governed applications, AI and agent workflows and self-service analytics.

May manage programs that include formulating strategies and administering policies, processes, and resources, functions with a high degree of autonomy.

Applies advanced IT and data architecture concepts and campus/medical center/OP or community-specific objectives to resolve highly complex issues with significant impact on the organization. Regularly works on issues where analysis of situations or data requires an in-depth evaluation of variable factors. Effectively selects criteria for evaluating results. Responsibilities include serving as technical expertise resource to the team, management, affiliates, and leadership.

Participate in planning, developing, training, implementation, and evaluation of information systems to support ongoing operations and ensure development, evaluation, and ongoing support for all components of the program.

Apply By Date:
October 28, 2026 at 11:59pm. Selection activities may start at any time.

Minimum Qualifications

Minimum Qualifications - For full consideration, applicants are encouraged to upload license and/or certification if required of the position

  • Bachelor's degree in related area and/or equivalent experience/training.
  • 10+ years of experience as a Data Architect driving end to end data architecture and delivery for data warehouses, data lakes, analytics systems.
  • 5+ years of experience designing and operating cloud data platforms (AWS preferred)
  • Advanced knowledge of data warehouse architecture and analytics, data management, data analysis, data pipeline development, and business intelligent (BI).
  • Deep hands‑on expertise with Databricks (Unity Catalog, Delta Lake, Spark, SQL Warehouse, ML Flow)
  • Experience in data modeling practices for data warehouses and analytics
  • Experience in data engineering and ETL/ELT delivery processes with SQL, Python and other frameworks
  • Good understanding of data governance, security, and compliance in regulated…
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