The Databricks Practice Lead will provide hands-on technical leadership for data engineering teams while overseeing the design and implementation of complex data platforms. This role involves managing project delivery, establishing technical standards, and serving as the primary subject-matter expert for Databricks solutions.
Manage cost visibility, financial governance, and optimization for a large-scale Databricks and cloud data platform. Partner with cross-functional teams to monitor consumption, develop budgets, and implement cost-saving strategies.
Lead the design and optimization of enterprise-scale observability and analytics platforms using Splunk and Databricks. Drive the strategic transformation from legacy SIEM platforms to scalable, cloud-native observability data lakes.
Lead the end-to-end delivery of enterprise-scale Splunk implementations, upgrades, and migrations. Serve as the technical liaison for architecture and data onboarding while managing cross-functional teams and stakeholders.
