Tasks:
- * Align platform capabilities with data delivery needs
- * Automate platform operations
- * Define CI/CD, infrastructure-as-code, orchestration, and observability standards
- * Drive continuous improvement and operational maturity
- * Drive problem management and permanent incident fixes
- * Ensure operational readiness for compliance and audits
- * Guide Databricks-native operating patterns
- * Lead platform and DevOps engineers
- * Manage vendor relationships, cases, upgrades, and licensing
- * Mentor engineers and develop team capabilities
- * Own ingestion, scheduling, and deployment automation architecture roadmaps
- * Own platform incident escalation and change management
- * Plan team capacity, hiring input, and workloads
- * Set DevOps and platform technical strategy
- * Track reliability, incident, deployment, and cost KPIs
Perks/Benefits:
Skills/Tech stack required:
[AI capabilities] [Audit Readiness] [Automation] [Capacity Management] [Change Management] [CI/CD] [Cloud Platforms] [Compliance] [Databricks] [Databricks AI] [Databricks AI capabilities] [Databricks Unity] [Databricks Unity Catalog] [Data Engineering] [Data Ingestion] [Deployment Automation] [DevOps] [Incident Management] [Infrastructure as Code] [License and capacity management] [Maturity Models] [Observability] [Operational Readiness] [Platform Engineering] [Platform KPIs] [Platform reliability] [Problem Management] [Scheduling] [Unity Catalog] [Upgrade Management] [Vendor management] [Workflow Orchestration]
Educational requirements:
[Bachelor's Degree] [Master's Degree]
Role(s):
[DevOps Lead] [Engineering Lead] [Lead] [Platform] [Platform Engineering] [Platform Engineering Lead]