Senior Database Administrator
Core
Design, implement, automate, and support enterprise-scale Databricks platforms across AWS, Azure, and GCP, focusing on Lakehouse architecture, cloud migrations, and operational excellence.
Role type
Senior Databricks Platform Engineer
Builds
Enterprise Databricks workspaces, Lakehouse architectures, and automated data platforms
Domain
Cloud Data Engineering / Big Data
Deliverable
production ML models
Required skills
Databricks administration, Apache Spark, PySpark, SQL, Delta Lake, Unity Catalog, Python scripting, Terraform, CI/CD pipelines, cloud networking, data governance
Preferred skills
Databricks Certified Professional Data Engineer, AWS/Azure/GCP certifications, Kafka, ELK stack, Prometheus, Grafana, MLflow, GenAI solutions
Technologies
Databricks, AWS, Azure, GCP, Spark, Delta Lake, Unity Catalog, Terraform, Python, Kafka, ELK, Prometheus, Grafana, MLflow
Responsibilities
Design and manage enterprise Databricks workspaces; Lead migration of legacy platforms to Lakehouse architecture; Drive Infrastructure-as-Code and CI/CD automation; Implement security, access controls, and data governance; Optimize workloads and cloud costs; Establish monitoring and incident management practices; Evaluate and implement AI/GenAI capabilities.
Seniority
Senior, hands-on IC