Principal Observability Architect (Splunk & Databricks)

Position Summary We are seeking a highly experienced Principal Observability Architect to lead the design, implementation, modernization, and optimization of enterprise-scale observability and analytics platforms. This role will serve as the technical authority for log management, observability engineering, telemetry pipelines, AIOps, security analytics, and data lakehouse architectures leveraging Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native technologies. The ideal candidate possesses deep expertise in traditional observability platforms (Splunk, Dynatrace, AppDynamics, ServiceNow ITOM) and modern data lakehouse architectures utilizing Databricks, Delta Lake, Unity Catalog, and AI/ML-driven analytics. This individual will drive the strategic transformation from legacy SIEM and observability platforms toward scalable, cloud-native observability data lakes. Key Responsibilities Enterprise Architecture & Strategy Define enterprise observability architecture standards, patterns, and roadmaps. Lead observability transformation initiatives involving Splunk modernization and Databricks adoption. Develop reference architectures for telemetry ingestion, storage, analytics, security, and AI-driven operations. Align observability strategies with business, security, compliance, and operational objectives. Create executive-level architecture presentations, business cases, and technology roadmaps. Splunk Platform Leadership Architect large-scale Splunk Enterprise and Splu