• Administer and monitor Databricks workspaces and underlying AWS infrastructure; develop platform admin tools and capabilities to administer, monitor, track and troubleshoot platform resources (clusters, catalogs, users, groups, databases, storage and security) • Act as the primary Databricks SME, assisting and guiding teams on platform features and best practices • Collaborate with data engineers, analysts, and data scientists to operationalize and optimize workflows and data pipelines • Oversee data-engineering development ecosystem, including dev-tooling, CI/CD pipelines, and monitoring frameworks • Own implementation and management of Infrastructure-as-Code (Terraform, CloudFormation) and CI/CD automation for Databricks and AWS resources • Ensure security, high availability, disaster recovery, and compliance across data services • Incorporate DevOps best practices including automated testing, deployment, observability, and monitoring • Engage with internal cross-functional stakeholders to understand data needs and design scalable solutions • Collaborate with engineers, managers, and vendor representatives to evaluate new features and solutions; lead rapid prototyping and proof-of-concepts evaluating performance, cost, security, scalability, and observability • Provide mentorship, technical guidance, training, and knowledge-sharing to junior team members and across teams