Technical Lead AI & Data Engineering

Technical Lead – AI & Analytics (Data Engineering)Remote in U.S BUT travel is required***THIS POSITION requires first week ONSITE in Tampa,FL for orientation and yearly meetings.***PLEASE NOTE: U.S. Citizens or Green Card holders only, please. We are unable to accept 3rd party candidates, transfer a visa, or provide sponsorship.Lead the Future of Microsoft Azure & Fabric Data EngineeringWe’re looking for a highly technical Technical Lead – Azure Data Engineering to architect and deliver enterprise-scale data solutions leveraging Microsoft Fabric, Fabric Data Factory, OneLake, Lakehouse Architecture, Databricks, Spark, and Azure Data Services. This is an opportunity to shape the future of an enterprise analytics platform while working with Microsoft’s newest cloud technologies.You’ll provide hands-on technical leadership to a team of Data Engineers and Data Scientists, driving architecture, engineering best practices, and delivery of scalable, secure, high-performance data solutions. If you enjoy remaining deeply technical while mentoring engineers and influencing platform strategy, this is the role for you.What You’ll DoLead and mentor a team of Azure Data Engineers and Data Scientists.Architect scalable enterprise data platforms using Microsoft Azure and Microsoft Fabric.At least 7 years of progressive data experience (developer, engineer, analytics) with a minimum of 5 years of leadership skills leading data engineering teams,Background developing standards and operating practices and supporting modernization of data platforms and integration capabilities.Experience leading delivery of scalable data pipelines, integrations, platform operations, and production supportMicrosoft & AzureMicrosoft Azure (Storage, Compute, SQL, Developer Services)Microsoft FabricFabric Data FactoryFabric LakehouseOneLakeSemantic ModelsDevelopmentPythonT-SQLSpark / PySparkREST APIsData Platform & DevOpsDatabricksApache AirflowAzure DevOpsGitCI/CD PipelinesPower BIWork EnvironmentRemote within approved U.S. locations with Travel to Tampa, FL required.Hybrid/onsite for candidates within commuting distance of Tampa, FL.Core hours of 9:00 AM–6:00 PM EST.Camera-on, highly collaborative culture with an emphasis on responsiveness, accountability, and leadership