Articles about Applied Systems

Define and govern enterprise-scale data architecture across batch, streaming, warehouse, lakehouse, transactional, and AI use cases. Establish standards for data quality, lineage, access, cataloging, governance, observability, and SLAs. Architect AI-enabled workflows, resolve complex architecture issues, influence roadmaps, and mentor engineers through hands-on technical leadership. The role requires 15+ years of software, data engineering, or architecture experience and expertise in large-scale data platforms and modeling.

Administer hybrid Windows Server infrastructure across colocation, on-premises, Azure, and GCP environments. Manage virtual machines, cloud resources, patching, upgrades, backups, monitoring, alerts, incident response, vulnerability remediation, and root cause analysis. Develop automation using PowerShell, Python, Ansible, and infrastructure-as-code tools for provisioning, remediation, and self-healing workflows. Maintain documentation and runbooks while collaborating with engineering, IT support, security, and operations teams.

Lead North America agency adoption and engagement for Applied's commercial collaboration portfolio. Set strategy, build scalable operating models and playbooks, align cross-functional teams, and personally lead executive agency engagements and large migrations to drive day-to-day usage and bound premium. Combine human-led and digital adoption motions and reinforce network effects between agencies and carriers.