Cloud Engineer, Data Platforms
Core
Build, configure, and operate Azure Databricks workspaces and pipelines to support production-grade data and AI workloads for industrial clients.
Role type
Cloud Engineer, Data Platforms
Builds
Reliable data pipelines, AI workloads, and platform infrastructure on Azure Databricks
Domain
Industrial software, Cloud Data Platforms, Azure
Deliverable
production ML models | infrastructure
Required skills
Azure Databricks operations, Infrastructure as Code (Terraform/Bicep), CI/CD pipelines, Spark, Delta Lake, Python, SQL, Networking/Security patterns (VNETs, Key Vault)
Preferred skills
Unity Catalog, Data governance patterns, GenAI workload support, AWS/GCP concepts
Technologies
Azure, Databricks, Terraform, Bicep, Azure DevOps, GitHub, Python, SQL, Spark, Delta Lake
Responsibilities
Build and operate Databricks workspaces and clusters; Enable production readiness and incident response; Support and harden ETL/ELT pipelines; Implement IaC and CI/CD practices; Manage security, access controls, and compliance; Improve observability, logging, and cost controls; Participate in embedded delivery support for AI/analytics teams
Seniority
Mid-Senior, hands-on IC
