{"id":4309724,"url":"https://alion.io/job/newvision-software-consultancy-azure-databricks-platform-architect-technical-lead","title":"Azure Databricks Platform Architect / Technical Lead","company":{"id":4489094,"name":"NewVision Software & Consultancy","domain":"newvision-software.com","url":"https://alion.io/company/newvision-software-and-consultancy","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T11:21:27Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"Hybrid preferred however can be Pan India Remote for the right candidate\nAzure Databricks Platform Architect / Technical Lead\nAbout the Role\nWe 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.\nResponsibilities:\nDesign and implement enterprise-scale Azure Databricks platform architecture, including multi-workspace environments and Azure landing zones.\nProvision and configure Databricks workspaces, clusters, cluster policies, and compute resources.\nDesign Azure networking solutions, including VNets, subnets, NSGs, CIDR planning, IP allocation, and secure connectivity.\nConfigure and manage Unity Catalog, including metastore setup, RBAC, permissions, data lineage, and governance.\nImplement platform security, including Azure Key Vault, secrets management, credential rotation, and auditing.\nAutomate infrastructure provisioning and deployments using Terraform, Bicep, ARM Templates, and CI/CD pipelines.\nDefine platform standards for monitoring, performance, cost optimization, and operational support.\nSupport Databricks development, including PySpark, Spark SQL, Delta Lake, and Medallion architecture.\nLead technical design decisions and collaborate with Data Engineering, DevOps, Infrastructure, and Security teams.\nMust have Requirements\n8+ years of experience in Data Engineering, Cloud Infrastructure, or Platform Architecture, including at least 3 years with Azure Databricks.\nThe ideal candidate should be able to design, provision, and manage enterprise-scale Databricks environments, including networking, security, governance, and platform operations. Azure Databricks Networking, VPC management, IP management.\nMust have worked and configured at least 1 enterprise level multi-tenant data platform.\n Hands-on experience designing and provisioning Azure Databricks workspaces from scratch.\nStrong experience with enterprise Databricks architecture, including multi-workspace environments and secure connectivity.\nStrong Azure networking knowledge, including VNets, subnets, NSGs, CIDR planning, routing, and IP address management.\nHands-on experience with Unity Catalog metastore setup and configuration, RBAC, access controls, and data lineage implementation.\nExperience with Azure security, Key Vault, secret rotation, and credential lifecycle management.\nExperience with Infrastructure as Code, preferably Terraform, and CI/CD automation.\nStrong understanding of Databricks clusters, cluster policies, compute management, and performance optimization.\nExperience with enterprise data governance, monitoring, auditing, and production support.\nGood understanding of Python, PySpark, SQL, Delta Lake, and Medallion architecture.\nExperience leading technical design and architecture discussions.\nExperience with Databricks Asset Bundles (DABs).\nNice to Have\nExperience with multi-region Azure deployments and complex enterprise networking.\nExperience with Azure Monitor, Log Analytics, and cost governance.\nExperience in banking, insurance, or other regulated industries.\nAzure or Databricks certifications.","description_format":"text","description_chars":3176,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software 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