Cloud Engineer, Data Platforms

Overview

Hands-on Cloud Engineer to accelerate delivery and operational reliability of AVEVA's data and AI workloads, with a focus on Azure Databricks. Begins with an induction in Cloud Operations, then an embed period with the Data Science & AI team, after which the role moves into the standard Cloud Operations model.

What you'll do

• Build, configure, and operate Databricks workspaces, clusters, policies, and supporting Azure services.
• Enable a clear path to production environments, including operational processes, runbooks, incident response practices, and release readiness.
• Support and harden ETL/ELT pipelines (e.g., Delta Lake patterns), job orchestration, and workload performance tuning.
• Implement infrastructure-as-code and CI/CD practices for Databricks and related Azure resources (e.g., Terraform/Bicep, Azure DevOps/GitHub).
• Implement least-privilege access, secrets management, identity integration, auditability, and compliance-aligned controls (in partnership with Security / Governance).
• Improve logging, monitoring, and cost controls; diagnose and resolve platform/network issues affecting delivery.
• Participate in Madrid-based team stand-ups and planning; manage an agreed backlog of tasks that unblock AI for ALL and analytics delivery.

What you'll need

• 5+ years experience in cloud/platform engineering (preferably Azure), or candidates below this may still be considered if they hold AZ-900, AZ-305, AZ-104, AZ-400 and/or AI-102 certifications.
• 2+ years hands-on experience with Databricks (Azure Databricks strongly preferred).
• Strong hands-on experience operating Azure Databricks in enterprise settings; able to troubleshoot workspace, networking, and performance issues.
• Comfortable with automation, CI/CD, IaC, and operational best practices.
• Working knowledge of Spark, Delta Lake, Python and SQL.
• Ability to partner effectively with data engineers, AI engineers and data scientists.
• Bias to reliability and delivery; able to triage issues quickly and communicate clearly across distributed teams.
• Works effectively across time zones and teams; able to translate requirements into actionable platform work.
• Experience with networking/security patterns in Azure (VNETs, private endpoints, Key Vault, managed identities, etc.).
• Experience with IaC (Terraform, ARM/Bicep) and CI/CD for platform and data workloads.

Nice to have

• Familiarity with AWS/GCP concepts.
• Experience with Unity Catalog.
• Experience supporting data governance patterns and lineage/metadata tooling.
• Familiarity with GenAI workload considerations.

Details

• Location: Bangalore, India.
• Employment type: Full time, regular.
• Hybrid working: expected to be on-site about 50% of working hours; the working arrangement will be confirmed during hiring.
• Embedded delivery support with Madrid-based team stand-ups and planning.