<p>We are looking for a highly skilled Lead Data Engineer to join our team. This role requires an individual with extensive experience in Databricks and a solid understanding of the insurance industry. You will play a pivotal role in designing and implementing scalable data architectures to support advanced analytics, reporting, and AI/BI/ML initiatives across various insurance functions.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement enterprise-level data architectures using Databricks Lakehouse, Delta Lake, and Azure cloud services.</p><p>• Create and maintain secure, scalable data pipelines to process structured and unstructured data from multiple sources.</p><p>• Define data integration, modeling, and governance frameworks tailored to insurance data domains such as policy, claims, underwriting, and billing.</p><p>• Collaborate with actuarial, underwriting, and BI teams to design semantic layers and analytics-ready datasets.</p><p>• Optimize Databricks cluster performance and workflows to ensure cost efficiency and reliability.</p><p>• Establish and enforce data security protocols aligned with industry regulations and compliance standards.</p><p>• Implement data quality, lineage, and metadata management frameworks using tools like Unity Catalog or Collibra.</p><p>• Mentor teams on best practices for data modeling, Databricks optimization, and cloud architecture.</p><p>• Review and validate solutions from divisional teams and vendors to ensure scalability, resilience, and cost-effectiveness.</p><p>• Evaluate emerging technologies and develop blueprints for adoption to enhance data capabilities.</p>

• Bachelor’s or master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.<br>• At least 7 years of experience in data architecture or engineering, including 4 years working with Databricks.<br>• Expertise in insurance data models, including policy, claims, underwriting, and accounting domains.<br>• Proficiency in Python, PySpark, ETL processes, and Databricks workflows.<br>• Strong knowledge of Azure Databricks and modern data lakehouse architecture.<br>• Experience integrating data with BI tools such as Power BI, Tableau, or Looker.<br>• Familiarity with data governance tools like Unity Catalog or Collibra.<br>• Excellent communication and stakeholder management skills.

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