Cloud Engineer, Data Platforms
AVEVA (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Operate and enhance Azure Databricks workspaces and services ensuring production readiness, platform reliability, and operational efficiency for data and AI workloads.
- Drive automation and CI/CD implementation using infrastructure-as-code tools for Databricks and Azure resources.
- Collaborate closely with Data Science & AI teams and Cloud Operations to support AI for ALL delivery priorities and maintain platform compliance with security and governance standards.
Minimum Requirements
- 5+ years experience in cloud/platform engineering, preferably with Azure; 2+ years hands-on experience with Azure Databricks strongly preferred.
- Strong expertise in operating Azure Databricks including troubleshooting workspace, networking, and performance issues.
- Experience with networking and security patterns in Azure (e.g., VNETs, private endpoints, Key Vault, managed identities).
- Experience with IaC (Terraform, ARM/Bicep) and CI/CD tools (Azure DevOps/GitHub) for platform and data workloads.
Ideal Candidate Profile
- Experienced pragmatic engineer focused on platform dependability, automation, and rapid operational issue resolution in enterprise Azure environments.
- Capable of working collaboratively across distributed teams and time zones, translating data science/AI requirements into scalable platform solutions.
- Hands-on with data platform fundamentals including Spark, Delta Lake, Python, SQL, and operational best practices for data pipelines in cloud environments.