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AVEVA

Industrial software for SaaS asset management

Cloud Engineer - Data Platforms

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • Strong hands-on experience operating Azure Databricks in enterprise settings, including troubleshooting workspace, networking, and performance issues.
  • Comfort with automation, continuous integration and continuous delivery, infrastructure as code, and operational best practices.
  • Working knowledge of Spark, Delta Lake, Python, and SQL, and ability to partner effectively with data engineers, AI engineers, and data scientists.
  • A reliability- and delivery-focused operational approach, including triaging issues quickly and communicating clearly across distributed teams.
  • Ability to collaborate across time zones and teams and translate requirements into actionable platform work.
  • At least 5 years of experience in cloud or platform engineering, preferably with Azure.
  • At least 2 years of hands-on Databricks experience; Azure Databricks is strongly preferred.
  • Experience with Azure networking and security patterns, including virtual networks, private endpoints, Key Vault, and managed identities.
  • Experience with infrastructure as code using Terraform, ARM, or Bicep, and continuous integration and delivery for platform and data workloads.

Responsibilities

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

Desired Qualifications

  • Familiarity with AWS or GCP concepts.
  • Experience with Unity Catalog.
  • Experience supporting data governance patterns and lineage or metadata tooling.
  • Familiarity with generative AI workload considerations.
  • Azure certifications such as AZ-900, AZ-305, AZ-104, AZ-400, and/or AI-102 are advantageous, particularly for candidates who do not meet the required years of experience.

About the Company

AVEVA

Industrial software for SaaS asset management

AVEVA provides industrial software that helps companies digitally transform their operations in manufacturing, energy, and infrastructure. Its offerings are delivered as a subscription-based service (SaaS) for engineering asset management, rather than traditional perpetual licenses. The core product, CONNECT, is an open industrial intelligence platform that runs in the cloud and can scale as a business grows; it works with or without Schneider Electric hardware, thanks to its hardware-agnostic design. Along with software, AVEVA offers online training to help clients adopt the new SaaS model. Compared with competitors, AVEVA differentiates itself by being hardware-agnostic, offering a cloud-first, subscription platform, and an open platform that supports scalable, cloud-based engineering asset management. The company aims to help customers digitally transform their operations, improve efficiency, and reach broader markets through flexible, cloud-based software solutions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Cambridge, United Kingdom
Founded
1967

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