Databricks Data Platform Engineer
Core
Design, operate, and continuously improve enterprise-grade Databricks data platforms in Azure, enabling self-service capabilities and upskilling data teams.
Role type
Senior IC Databricks Data Platform Engineer
Builds
Scalable and secure Databricks data platforms, shared platform components, reusable templates, and reference architectures
Domain
Cloud-native data platforms, Data lake/lakehouse architectures, Azure
Deliverable
production ML models | infrastructure
Required skills
Databricks platform administration, Python, SQL, Infrastructure as Code, CI/CD pipelines, Data lake/lakehouse architectures, Cloud-native data platforms, Data ingestion and transformation patterns
Preferred skills
Azure DevOps, Terraform, Bash, Azure CLI, REST APIs, Data governance and security concepts, Analytics engineering tools
Technologies
Databricks, Azure, Python, SQL, Terraform, Bash, Azure CLI
Responsibilities
Design, build, and operate scalable Databricks data platforms; Develop and maintain shared platform components including workspace standards and cluster policies; Automate platform provisioning using IaC and CI/CD; Enable self-service by providing reusable templates and reference architectures; Act as a trusted technical advisor to data teams; Deliver training sessions and mentor engineers to raise platform maturity
Seniority
Senior, hands-on IC with enablement focus