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
Senior Cloud Engineer (Data Platforms)
Builds
Reliable data pipelines, AI/ML infrastructure, and production-ready environments on Azure Databricks
Domain
Industrial software, Cloud Data Platforms, Azure
Deliverable
production ML models | infrastructure
Required skills
Azure Databricks, Azure cloud services, Spark, Delta Lake, Python, SQL, Infrastructure as Code (Terraform/Bicep), CI/CD, Security & Identity management, Observability
Preferred skills
AWS/GCP concepts, Unity Catalog, Data governance patterns, GenAI workload support
Responsibilities
Build and operate Databricks workspaces and clusters; Enable production readiness and incident response; Support ETL/ELT pipelines and workload tuning; Implement IaC and CI/CD practices; Manage security, access controls, and compliance; Improve logging, monitoring, and cost controls; Participate in embedded delivery support for AI/analytics teams
Seniority
Senior, hands-on IC
