Qualifications Bachelors degree in information technology, computer science, information systems, data management, or a related field, or an equivalent combination of education and experienceTen or more years of experience supporting enterprise database or data platforms, preferably in insurance or another regulated industry; five or more years of hands-on Microsoft SQL Server administration and engineering experience in production environmentsExperience designing, implementing, administering, and modernizing cloud-based data platforms, including Microsoft Azure and Azure Databricks; certifications in Microsoft Azure, SQL Server, Databricks, or AI-relatedExperience supporting enterprise AI adoption, governance, implementation, and AI-enabled business solutions, including transitioning solutions from pilot to governed production useKnowledge of SQL Server administration, performance tuning, troubleshooting, backup and recovery, high availability, disaster recovery, patching, and lifecycle management; knowledge of Azure data services, Azure SQL, Databricks, Lakehouse architecture, Unity Catalog, Delta Lake, data warehousing, data modeling, ETL/ELT, and data integration patternsKnowledge of data security, identity and access management, governance, monitoring, automation, and cataloging, including Microsoft Purview or comparable platformsProficiency with SQL scripting and automation using PowerShell, Python, or comparable toolsKnowledge of generative AI, including large language models, grounding, retrieval-augmented generation, prompt design, evaluation, responsible AI, and secure enterprise integrationExperience with enterprise AI platforms and services such as Azure AI Foundry, Microsoft Copilot, Claude, Azure OpenAI, AI Search, and model APIsExperience with Azure Data Factory, Azure Synapse Analytics, Power BI, or comparable data and analytics services Lets talk benefits! Position Summary The Senior Database & Data Platform Engineer provides technical leadership for the design, administration, optimization, governance, and modernization of the organizations enterprise data platforms.