Job Description
Job Title: Senior Azure Databricks Engineer
\n
Duration: 12 months
\n
Location: Glendale, AZ 85301
\n
Experience: 8 to10 years
\n
\n
Requirements
\n
- \n
- 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;
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n