Technical Lead AI and Analytics-Data Engineering
Technical Lead – AI & Analytics (Data Engineering)Remote in U.S. Approved States | Hybrid/Onsite for candidates within commuting distance of Tampa, FLPLEASE 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.Design and optimize ETL/ELT pipelines, Lakehouse architectures, and enterprise data warehouses.Drive engineering standards, DevOps practices, data governance, and platform performance.Collaborate with technical and business stakeholders to deliver enterprise analytics solutions.Coach engineers while remaining hands-on with architecture, solution design, and technical delivery.Build and optimize ETL/ELT processes, data models, and enterprise data warehouses.Develop scalable orchestration solutions using Fabric Data Factory and Apache Airflow.Establish standards for code quality, CI/CD, source control, security, documentation, and Agile delivery.Collaborate with business and technical stakeholders to deliver scalable analytics solutions.Provide technical leadership, project oversight, resource planning, and delivery accountability.Required Technical SkillsMicrosoft & AzureMicrosoft Azure (Storage, Compute, SQL, Developer Services)Microsoft FabricFabric Data FactoryFabric LakehouseOneLakeSemantic ModelsData EngineeringEnterprise Data WarehousingETL/ELT Pipeline DevelopmentData ModelingMedallion ArchitectureLakehouse ArchitectureData GovernancePerformance OptimizationRow-Level & Object-Level SecurityDevelopmentPythonT-SQLSpark / PySparkREST APIsData Platform & DevOpsDatabricksApache AirflowAzure DevOpsGitCI/CD PipelinesPower BILeadership Qualifications7+ years of Data Engineering experience designing enterprise-scale cloud data platforms.3+ years leading technical teams in a hands-on leadership role.Proven experience mentoring engineers, establishing engineering standards, and driving delivery excellence.Strong stakeholder management and cross-functional collaboration skills.Demonstrated ability to lead in a highly collaborative, fast-paced, accountability-driven environment.Work EnvironmentRemote within approved U.S. locations.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