Principal Engineer - Databricks Data Engineer

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Job Description : - Audit the current Databricks workspace state, including environments, clusters, Unity Catalog setup, access controls, and cost configuration. - Implement and harden Unity Catalog, including namespace structure, access controls, cluster policies, and environment separation.   - Define workspace standards, naming conventions, access request workflows, and user/team onboarding processes. - Establish data quality frameworks, including SLAs, certification criteria, and data ownership models. - Build automation templates for routine workspace operations such as cluster lifecycle management, cost alerting, and utilization monitoring. - Stand up observability dashboards covering platform health, cost, job success rates, and DQ SLA KPIs, and monitor core data asset lineage across workspaces. - Create runbooks for recurring operational tasks that can be executed by a mid-level/junior engineer without ongoing support from the senior resource. - Conduct knowledge-transfer sessions with the platform engineering team. - Provide final documentation covering architecture decisions, operational standards, open items, and recommendations for the permanent hire profile.Key Responsabilities. - Evaluate and optimize Databricks environments, including workspaces, clusters, catalogs, permissions, and security configurations. - Define and implement governance standards to ensure secure, scalable, and compliant platform operations. - Lead Unity Catalog adoption, designing data structures, access models, and environment segregation strategies. - Establish RBAC policies, workspace standards, naming conventions, and user access processes. - Drive data governance initiatives, including data quality frameworks, ownership models, SLAs, lineage, and stewardship practices. - Develop automation solutions and Infrastructure as Code (IaC) frameworks to streamline platform administration and reduce manual effort. - Implement cost optimization, monitoring, and operational excellence practices across Databricks environments. - Design observability and performance dashboards to track platform health, utilization, job success rates, and data quality KPIs. - Create operational documentation, runbooks, and support procedures to improve platform reliability and team readiness. - Partner with security, compliance, infrastructure, and data engineering teams to align platform capabilities with business needs. - Provide training, mentoring, and knowledge transfer sessions to empower platform administrators and engineering teams. - Recommend platform improvements and long-term strategies to enhance governance, scalability, and organizational maturity. Must have skills: Azure Data Factory, Databricks, Unity Catalog Good to have skills: Data platform implementation, Google Workspace Administration