3 days ago
Bengaluru, IndiaSenior
Responsibilities
- Build, configure, and operate Azure Databricks workspaces, clusters, policies, and supporting Azure services.
- Enable production readiness through operational processes, runbooks, incident response practices, and release-readiness activities.
- Support and harden ETL/ELT pipelines, Delta Lake patterns, job orchestration, and workload performance.
- Implement infrastructure-as-code and CI/CD for Databricks and related Azure resources using tools such as Terraform and Bicep.
- Implement least-privilege access, secrets management, identity integration, auditability, and compliance-aligned controls with Security and Governance teams.
- Improve logging, monitoring, and cost controls while diagnosing and resolving platform and network issues.
- Support AI for ALL and analytics delivery by managing an agreed backlog and participating in Madrid-based team stand-ups and planning.
Requirements
- 5+ years of experience in cloud or platform engineering, preferably with Azure.
- 2+ years of hands-on experience with Databricks, with Azure Databricks strongly preferred.
- Strong hands-on experience operating Azure Databricks in enterprise environments, including troubleshooting workspace, networking, and performance issues.
- Working knowledge of Spark, Delta Lake, Python, and SQL, with the ability to partner with data engineers, AI engineers, and data scientists.
- Experience with automation, CI/CD, infrastructure-as-code, operational best practices, Azure networking and security patterns, and platform/data workload delivery.
- Experience with Azure VNETs, private endpoints, Key Vault, managed identities, Terraform, ARM/Bicep, and CI/CD.
- Candidates who do not meet the required experience may still be considered with relevant certifications including AZ-900, AZ-305, AZ-104, AZ-400, and/or AI-102.
- Familiarity with AWS and GCP concepts, Unity Catalog, data governance and lineage/metadata tooling, and GenAI workload considerations is desirable.
- Ability to collaborate across distributed teams and time zones, translate requirements into platform work, triage issues quickly, and communicate clearly.
Benefits
- Full-time regular employment with a hybrid arrangement based in Bangalore; AVEVA generally expects on-site work for 50% of working hours, with the specific arrangement confirmed during hiring.
- India benefits include gratuity, medical and accidental insurance, attractive leave entitlement, emergency leave, childcare support, maternity, paternity and adoption leave, education assistance, home-office setup support, and well-being support.
- Applicants must pass drug screening and a comprehensive background check before employment, subject to local laws.
Tech Stack
Categories
Data EngineeringDevOps
About AVEVA
AVEVA builds industrial engineering, operations, and data-management software used by energy, process, infrastructure, and manufacturing companies. Its portfolio spans 3D design and simulation, HMI/SCADA and MES, asset performance, and the PI System for real‑time operational data, sold via enterprise licenses and cloud subscriptions. The company is headquartered in Cambridge, UK, and is a subsidiary of Schneider Electric following its 2023 acquisition and LSE delisting.