Data Platform & Cloud Engineer, AI- Enabled Developer

The Liberty Company Insurance Brokers, LLC is a forward-thinking insurance brokerage focused on culture, collaboration, and employee growth. The Data Platform & Cloud Engineer, AI-Enabled Developer will own the health and security of the SQL Server/Azure data warehouse and Azure infrastructure while building internal applications and automations using AI-assisted development practices. The role also manages data pipelines, integrations, governance, and the decommissioning of legacy systems.

Responsibilities:

• Own the health, performance, and security of Liberty’s SQL Server / Azure SQL data warehouse infrastructure, including production and reporting databases
• Administer, monitor, and tune database environments: indexing, query performance, backup and recovery, capacity planning, and patching
• Build, maintain, and monitor the ETL/ELT pipelines that pull data from source systems — agency management systems, carrier and finance platforms, HR/payroll, and other line-of-business tools — into the warehouse
• Design and maintain data normalization, transformation, and modeling logic so downstream reporting and BI tools work from a single, consistent source of truth
• Manage schema changes, data quality checks, and job orchestration/scheduling for recurring data loads; troubleshoot and resolve pipeline failures and data discrepancies
• Define and enforce data access controls, retention practices, and documentation standards for the warehouse, in coordination with IT and compliance
• Collaborate with IT Department team members and conform to Liberty's governing technology policies — including security, change management, access provisioning, and architecture standards — across all warehouse, cloud, and application work. This role carries a dotted-line reporting relationship to Technology Operations
• Partner with the BI/Analytics team to expose clean, well-modeled data sets to existing and future consumption layers, including dashboards, internal applications, and APIs
• Administer responsible portions of Liberty's Microsoft Azure subscription: resource and subscription organization, role-based access control through Entra ID, cost management and budget monitoring, tagging and naming standards, and platform-level security configuration
• Own the Azure infrastructure supporting Liberty OS and Liberty Aura — provisioning, configuration, monitoring, patching, and capacity planning for the app services, databases, key vaults, and supporting resources those platforms depend on
• Lead the decommissioning of legacy systems and databases: plan and execute data migration and archival, confirm records-retention obligations are satisfied before shutdown, retire orphaned Azure resources, and document what was retired and where the data now lives
• Design, build, and maintain internal software applications and automations using AI-assisted development tools and coding agents as a primary part of the development workflow
• Translate business and operational needs from BI, Operations, and other Liberty teams into working internal tools, integrations, and automations
• Apply sound software engineering practice — code review, version control, testing, and documentation — to everything shipped, regardless of how much of it was AI-assisted
• Evaluate and responsibly adopt new AI coding tools and workflows, and share practices that raise the team’s overall development speed and quality
• Build and maintain integrations between the data warehouse and internal business applications
• Work within Liberty’s data handling, security, and compliance guardrails when building anything that touches production, sensitive, or regulated data

Requirements:

• • 6+ years of experience administering SQL Server or a comparable relational database platform in a production environment
• • Hands-on experience building and maintaining ETL/ELT pipelines and data warehouse or data mart architectures
• • Hands-on experience administering a Microsoft Azure subscription: resource and subscription organization, role-based access control (Entra ID), cost management, and platform security configuration
• • Strong SQL skills, including query optimization, indexing strategy, and performance troubleshooting
• • Practical experience building software using modern AI coding assistants or agents (for example, Claude Code, GitHub Copilot, or Cursor) as part of a real development workflow, not just casual use
• • Working proficiency in at least one modern programming language (for example, Python, C#, or JavaScript/TypeScript) for building internal tools and automations
• • Familiarity with version control (Git) and standard software development lifecycle practices
• • Strong troubleshooting skills and comfort owning a system end to end, from data ingestion through the reports and applications built on top of it
• • Experience migrating off and decommissioning legacy systems or databases, including data migration, archival, and retention-compliant shutdown
• • Clear written and verbal communication skills, with the ability to explain technical tradeoffs to non-technical stakeholders
• • Qualified applications with arrest or conviction records WILL be considered for employment. For positions in our organization that require a state insurance license to perform the duties described herein, applicants must meet the state licensing requirements as required by the applicable DOI, must not have been disqualified or barred from licensure, and must not have been prohibited from conducting the business of insurance under Title 18 U.S. Code
• • 1033 and 1034 to qualify for that role
• • Experience with Azure SQL Managed Instance or another cloud data platform
• • Experience with infrastructure-as-code (Bicep, ARM, or Terraform) and Azure cost management or FinOps practices
• • Experience with Tableau or another modern BI/reporting tool, as a data publisher or consumer
• • Experience in insurance, brokerage, or financial services, or with agency management systems such as Applied Epic or AMS360
• • Experience building or integrating with MCP (Model Context Protocol) servers or similar agentic/AI tool-calling architectures
• • Exposure to data governance or regulatory compliance requirements relevant to insurance and financial data
• • Experience mentoring other developers on AI-assisted development practices