Senior Azure Data & Insurance Technology Specialist - W2 Only

Key Responsibilities

• Design and implement end-to-end technology solutions for insurance products leveraging Azure Functions and Azure Data Services for scalable and maintainable platforms supporting policy and claims processes.
• Develop and optimize data engineering workflows on Azure Databricks to transform raw insurance data into curated datasets for pricing, underwriting, and regulatory reporting.
• Build high-performance Databricks SQL queries and reusable data models to enable self-service analytics, dashboards, and advanced insights.
• Translate business requirements into technical designs in collaboration with product owners, business analysts, and domain experts.
• Implement monitoring, logging, and alerting for Azure Functions and Databricks pipelines to ensure reliability and rapid incident resolution.
• Apply secure coding and data protection standards to safeguard sensitive insurance and financial data.
• Perform continuous performance tuning of data pipelines, clusters, and SQL workloads to optimize cost and efficiency.
• Collaborate with QA teams to define test strategies and ensure data validation and reliable deployments.
• Document solution designs, data flows, and operational procedures for maintainability and knowledge sharing.
• Ensure seamless integration with enterprise systems, identity platforms, and shared data ecosystems.
• Provide technical guidance on Databricks optimization, cluster configurations, and best practices.
• Identify technical debt and drive continuous improvement initiatives.
• Engage stakeholders regularly in hybrid work settings to align on progress and gather feedback.

Requirements

• 10+ years of experience in technology roles with strong focus on data engineering, cloud platforms, and insurance systems.
• Strong expertise in Azure Functions and Azure Data Services.
• Hands-on experience with Azure Databricks (cluster management, notebooks, job orchestration).
• Advanced proficiency in Databricks SQL (query optimization, data modeling).
• Strong understanding of data warehousing, data lakes, and cloud data governance.
• Experience delivering enterprise-scale Azure solutions with performance and cost optimization.
• Deep domain knowledge in insurance (policy administration, billing, claims).

Nice to Have Skills

• Experience with event-driven architecture and microservices on Azure.
• Knowledge of advanced analytics, actuarial data models, or regulatory reporting.
• Familiarity with CI/CD pipelines and DevOps practices for data platforms.