monitoring-and-observability jobs in San Diego

Director-level role managing data center operations, infrastructure, and associated teams at a healthcare organization. Responsible for on-premises and hybrid infrastructure environments, network architecture, disaster recovery, business continuity, compliance with healthcare/security regulations, and supervising assigned staff.…See more Requires 10+ years of data center/infrastructure experience, 8+ years in supervisory roles, and demonstrated expertise in enterprise networking, cloud platforms, virtualization, and IT service management.

Principal Database Architect responsible for administering, architecting, and optimizing enterprise Microsoft SQL Server database platforms across production, development, test, and disaster recovery environments at scale. The role involves designing highly available and secure database architectures, managing ETL/SSIS workflows, performance tuning, backup/recovery, replication, and disaster recovery processes.…See more Requires 10+ years of SQL Server administration in complex enterprise environments, strong T-SQL and data modeling expertise, and experience with reporting platforms (SSRS, SSAS, Power BI). Will partner with software engineering, QA, and infrastructure teams to support application requirements and evaluate emerging database technologies.

Clinical Data Engineer II/III will develop and maintain data transformation models across clinical schemas, ensuring data quality, reliability, and regulatory compliance in a healthcare environment. The role requires designing data contracts, building reconciliation logic to unify multi-source data, and owning clinical result data end-to-end from ingestion through monitoring.…See more You will partner with clinical operations, regulatory, and research teams to resolve data issues, maintain dashboards subject to formal validation, and serve as a subject-matter expert on the warehouse clinical data. This position demands 5+ years of hands-on data engineering with production transformation frameworks (dbt preferred), deep SQL expertise, and demonstrated experience in regulated environments.