Azure Engineer

Job Title: Senior Azure Databricks Engineer Duration: 12 months Location: Glendale, AZ 85301 Experience: 8 to10 years Requirements At least 8-10 years of experience in designing and implementing enterprise data platforms; At least 5 years of hands-on experience hands-on Azure Databricks experience in enterprise environments; Experience with architecting modern Lakehouse solutions using Azure Databricks and Delta Lake; Experience in administering Azure Databricks workspaces, clusters, Unity Catalog, compute policies, job orchestration, and workspace security; Experience in developing data engineering solutions using Apache Spark (PySpark and/or Spark SQL); Experience in implementing enterprise data governance utilizing Unity Catalog, metadata management, data lineage, and fine-grained access controls; Experience designing and working with enterprise security architectures including RBAC, Managed Identities, Private Endpoints, Key Vault integration, encryption, and network security; Experience implementing enterprise data quality frameworks, monitoring, observability, and operational dashboards; Strong understanding of data modelling techniques including dimensional modelling, Data Vault, medallion architecture, and enterprise data warehouse concepts; Strong knowledge of Azure Data Lake Storage Gen2, Azure Key Vault, Azure Monitor, Microsoft Entra ID (Azure AD), and Azure networking;