Full-time
Service Region: UCC
Company Description
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). 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.
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.
Evaluate and optimize Databricks environments, including workspaces, clusters, catalogs, permissions, and security configurations.
Lead Unity Catalog adoption, designing data structures, access models, and environment segregation strategies.
Drive data governance initiatives, including data quality frameworks, ownership models, SLAs, lineage, and stewardship practices.
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.
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.
Azure Data Factory, Databricks, Unity Catalog
Data platform implementation, Google Workspace Administration
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📌 Data Engineering Senior Supervisor (Jalisco)
🏢 Nagarro
📍 Jalisco