Lead Azure Data EngineerLocation: RemoteJob Type: Full TimeJob Description:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field10+ years of experience in data engineering / data architecture, with deep hands-on expertise in Microsoft AzureExpert-level experience with Azure Databricks and Apache Spark (PySpark, Spark SQL)Delta LakeUnity CatalogJob orchestration and performance tuningStrong experience with Snowflake on Azure, including:Schema and data model designPerformance and cost optimizationRBAC, Streams, and TasksDBT (Core or Cloud) expertise:Project structure and best practicesTests, exposures, macrosStrong fundamentals in SQL and PythonProven experience building ETL/ELT pipelines using:Azure Data Factory (ADF)Azure Synapse / Microsoft Fabric pipelinesFamiliarity with streaming platforms such as Event Hubs and/or KafkaSolid understanding ofLakehouse and data warehousing architecturesDimensional modelingMedallion architecture patternsData quality frameworksStrong knowledge of security and governance, including:Microsoft Purview (catalog, lineage)Data masking and PII handlingManaged identitiesPrivate networkingExcellent communication and documentation skills, with the ability to:Create architecture and design documentsPresent to both technical and business stakeholdersConsulting / agency experience, with the ability to lead multiple concurrent projectsWillingness to travel as requiredNice to HaveExperience with Azure ML, feature stores, or serving ML pipelines from Databricks or SnowflakeInfrastructure as Code (IaC) using Terraform or BicepContainerization experience with DockerObservability and data quality tooling, such as:Great Expectations / Delta ExpectationsDatabricks Quality FlowsMonte CarloDatadogPreferred CertificationsDatabricks Certified Data Engineer Professional or Databricks ArchitectMicrosoft Azure:DP-203 – Azure Data EngineerAzure Solutions Architect ExpertAzure Security Engineer AssociateSnowflake:SnowPro CoreSnowPro Advanced