Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead design and delivery of scalable production data pipelines and data products (Spark/Python/SQL) on Databricks; integrate diverse federal health systems, define reusable ingestion patterns, ensure data quality/governance, mentor engineers, and troubleshoot/optimize production workflows.

Support design and documentation of cloud and on-premises data solutions; translate mission needs into technical requirements; create architecture diagrams and technical materials; research technologies; participate in discovery and design discussions; collaborate with engineers to align implementations; communicate clearly to technical and nontechnical stakeholders while supporting a federal health data modernization mission.

Lead architecture for a federal health data modernization program, designing scalable hybrid-cloud data platforms, APIs, and integration patterns. Translate mission and security requirements into target-state architectures, guide legacy modernization, produce design artifacts, and collaborate with engineers, technical leads, and stakeholders to deliver secure, interoperable data products.

Design scalable hybrid/cloud data platform solutions for a federal health modernization initiative. Translate mission, data, security, and operational requirements into architectures, integration patterns, and documentation. Support Databricks and multicloud deployments, integrate legacy and modern systems via APIs and pipelines, collaborate with engineers and stakeholders, and enforce governance, security, and operational standards.

Design, build, and maintain scalable production data pipelines and APIs in a Databricks/Spark environment. Integrate and transform diverse health, financial, and operational datasets into reusable data products, implement data validation and governance, optimize pipeline performance, and collaborate with engineers, architects, and stakeholders to deliver reliable analytics datasets and platform capabilities.