<p>We’re hiring an Azure Engineer to architect, deploy, and support cloud infrastructure using Microsoft Azure. This role works across networking, automation, identity, security, and cloud-native services.</p><p><strong>What You’ll Do:</strong></p><ul><li>Build and maintain Azure infrastructure (VMs, functions, storage, networking)</li><li>Implement Azure AD, conditional access, and identity governance</li><li>Manage cloud networking (VNets, firewalls, NSGs, ExpressRoute/VPN)</li><li>Automate deployments using ARM/Bicep/Terraform/PowerShell</li><li>Monitor performance, reliability, and cost optimization</li><li>Support Azure security posture and compliance</li><li>Migrate workloads from on‑prem to Azure</li></ul><p><br></p>
We are looking for an experienced Data Engineer to join our team in Jacksonville, Florida. In this role, you will take the lead in designing and building a cutting-edge Azure lakehouse platform that enables business leaders to access analytics through natural language queries. This position combines hands-on technical expertise with leadership responsibilities, offering an opportunity to mentor a team of skilled engineers while driving innovation.<br><br>Responsibilities:<br>• Architect and develop a robust Azure lakehouse platform, utilizing Azure Data Lake Gen2, Delta Lake, and PySpark to create efficient data pipelines.<br>• Implement a semantic layer and metric store to ensure consistent data translation and definitions across the organization.<br>• Design and maintain real-time and batch data pipelines, incorporating medallion architecture, schema evolution, and data contracts.<br>• Build retrieval systems for large language models (LLMs) using Azure OpenAI and vectorized Delta tables to support chat-based analytics.<br>• Ensure data quality, lineage, and observability through tools like Great Expectations and Unity Catalog, while optimizing costs through partitioning and compaction.<br>• Develop automated systems for anomaly detection and alerting using Azure ML pipelines and Event Grid.<br>• Collaborate with product and operations teams to translate complex business questions into actionable data models and queries.<br>• Lead and mentor a team of data and Python engineers, establishing best practices in CI/CD, code reviews, and documentation.<br>• Ensure compliance with security, privacy, and governance standards by designing and implementing robust data handling protocols.