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New Vision Softcom & Consultancy Pvt. Ltd is seeking an experienced Azure Databricks Platform Architect / Technical Lead.
You will design, provision, and manage enterprise-scale Databricks environments, including networking, security, governance, and platform operations, with a strong emphasis on IaC and CI/CD. The ideal candidate has 8+ years in data engineering or platform architecture, with at least 3 years in Azure Databricks, and will collaborate across Data Eng, DevOps, Infra, and Security
NVS/ADPA-TL/1901348
Posted On 21 Oct 2026
End Date 21 Oct 2027
Required Experience 10 - 14 years
Basic Section
Grade --
Role Architect
Employment Type Full Time
Employee Category --
Organisational
Group Company NewVison
Company Name New Vision Softcom & Consultancy Pvt. Ltd
Function Business Units (BU)
Department/Practice AI & Analytics
Region APAC
Country India
Base office location Pune
Working model Hybrid
Weekly Off Pune office Standard
State Maharashtra
Hybrid preferred however can be Pan India Remote for the right candidate
We are looking for an experienced Azure Databricks Platform Architect / Technical Lead with strong hands-on experience in enterprise data platform architecture, infrastructure, and Databricks development.
The ideal candidate should be able to design, provision, and manage enterprise-scale Databricks environments, including networking, security, governance, and platform operations.
Design and implement enterprise-scale Azure Databricks platform architecture, including multi-workspace environments and Azure landing zones.
Provision and configure Databricks workspaces, clusters, cluster policies, and compute resources.
Design Azure networking solutions, including VNets, subnets, NSGs, CIDR planning, IP allocation, and secure connectivity.
Configure and manage Unity Catalog, including metastore setup, RBAC, permissions, data lineage, and governance.
Implement platform security, including Azure Key Vault, secrets management, credential rotation, and auditing.
Automate infrastructure provisioning and deployments using Terraform, Bicep, ARM Templates, and CI/CD pipelines.
Define platform standards for monitoring, performance, cost optimization, and operational support.
Support Databricks development, including PySpark, Spark SQL, Delta Lake, and Medallion architecture.
Lead technical design decisions and collaborate with Data Engineering, DevOps, Infrastructure, and Security teams.