Cloud Engineer, Data Platforms
Aveva · Bengaluru · onsite · Posted 8d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
Job Title: Cloud Engineer, Data Platforms
Location: Bangalore
Employment Type: Full Time (Hybrid role)
Job Summary
We are looking for a handson Cloud Engineer with strong expertise in Azure Databricks to accelerate the delivery and operational reliability of AVEVAs data and AI workloads. This role is based in Madrid and is expected to work collaboratively with the local Data Science and AI team as part of normal hybrid working.
The successful candidate will begin with a short induction period within the Cloud Operations team, followed by an embed period, working directly with the Data Science AI team. During this phase, daytoday priorities will be guided by the Data Science and AI team with a focus on establishing reliable, productiongrade data pipelines, hardening platform operations, and ensuring alignment to Cloud Ops standards for security, reliability, and cost efficiency. The role will provide direct support for AI for ALL delivery priorities. After this embed period, the role will transition into the standard Cloud Operations operating model.
This role is ideal for a pragmatic engineer who thrives on making platforms dependableimproving environments, hardening pipelines, automating deployments, and resolving operational issues quickly. It is highly deliveryoriented and requires close collaboration across Cloud Ops, security/governance, and analytics teams to ensure AVEVAs data and AI capabilities run securely, efficiently, and at scale.
Key responsibilities
- Databricks platform engineering (Azure): Build, configure, and operate Databricks workspaces, clusters, policies, and supporting Azure services.
- Production readiness: Enable a clear path to production environments, including operational processes, runbooks, incident response practices, and release readiness.
- Pipeline reliability: Support and harden ETL/ELT pipelines (e.g., Delta Lake patterns), job orchestration, and workload performance tuning.
- Automation CI/CD: Implement infrastructure-as-code and CI/CD practices for Databricks and related Azure resources (e.g., Terraform/Bicep, Azure DevOps/GitHub).
- Security access: Implement least-privilege access, secrets management, identity integration, auditability, and compliance-aligned controls (in partnership with Security / Governance).
- Observability operations: Improve logging, monitoring, and cost controls; diagnose and resolve platform/network issues affecting delivery.
- Embedded delivery support: Participate in Madrid-based team stand-ups and planning; manage an agreed backlog of tasks that unblock AI for ALL and analytics delivery.
Essential requirements
- Azure Databricks expertise: Strong hands-on experience operating Azure Databricks in enterprise settings; able to troubleshoot workspace, networking, and performance issues.
- Engineering discipline: Comfortable with automation, CI/CD, IaC, and operational best practices.
- Data platform fundamentals: Working knowledge of Spark, Delta Lake, Python and SQL; ability to partner effectively with data engineers, AI engineers and data scientists.
- Operational mindset: Bias to reliability and delivery; able to triage issues quickly and communicate clearly across distributed teams.
- Stakeholder collaboration: Works effectively across time zones and teams; able to translate requirements into actionable platform work.
- 5+ years experience in cloud/platform engineering (preferably Azure)
- 2+ years hands-on experience with Databricks (Azure Databricks strongly preferred).
- Candidates who do not meet the required years of experience may still be considered if they possess the following certifications:
AZ-900 (AzureFundamentals)
AZ-305 (DesigningAzureInfra Solutions)
AZ-104,AZ-400(DevOps Focused)and/or AI-102(AI)will beadvantageous - 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.
Desired skills
- Familiarity with AWS/GCP concepts
- Experience with Unity Catalog
- Experience supporting data governance patterns and lineage/metadata tooling
- Familiarity with GenAI workload considerations.
Sourced from naukri
Skills
AutomationCloud OperationsAzure DevopsAzure Servicesdata platformsamazon web servicesAutomatingCloud EngineerAnalyticsChemicalscloudAzure DatabricksData Governancebusiness strategycomplianceMicrosoft AzureData PipelinebicepArtificial Intelligence
About AVEVA
Aveva
Software Product
1.3k+
employees
1967
59 years old
Hyderabad / Secunderabad, Telangana
India
About
AVEVA harness the power of ecosystem, to deliver solutions and expertise to optimize engineering, operations and performance.
Industries
Software ProductInternetHardware & Networking
Employee ratings
569 reviews
4.0/ 5
Culture
4.1
Career growth
3.4
Work-life
4.3
Employees rate it well for
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