This role focuses on building and operating Azure Databricks workspaces to accelerate data and AI workloads for a global industrial software leader
Job Summary
This role focuses on building and operating Azure Databricks workspaces to accelerate data and AI workloads for a global industrial software leader.
The successful candidate will transition from an embedded period with the Data Science team to standard Cloud Operations after establishing reliable production pipelines.
AVEVA values diversity, equity, inclusion, and sustainability, offering a collaborative culture where engineers can make a big impact through technology.
Matching Summary
This role focuses on building and operating Azure Databricks workspaces to accelerate data and AI workloads for a global industrial software leader.
Skills & Requirements
Must-have
Azure Databricks expertise
Infrastructure as Code Terraform Bicep
CI/CD implementation Azure DevOps GitHub
ETL ELT pipeline hardening Delta Lake
Azure networking security patterns VNETs
7+ years cloud platform engineering experience
Nice-to-have
Unity Catalog familiarity
AWS GCP concepts knowledge
GenAI workload considerations
Data governance lineage tooling
Collaborative and pragmatic mindset
Key Requirements
7+ years in cloud/platform engineering
3+ years hands-on Azure Databricks experience
AZ-900 AZ-305 AZ-104 or AI-102 certifications if less than 3 years Databricks exp
Strong troubleshooting of workspace networking and performance issues