Data and Analytics Engineering Lead

Role Overview

• Lead the design and implementation of enterprise BI architecture, including data models, dashboards, reports, and data gateways, ensuring optimal performance, usability, and security.
• Collaborate with data engineers, analysts, and stakeholders to translate business requirements into scalable BI solutions, including data modeling, DAX calculations, and visualization best practices.
• Ensure adherence to data governance and compliance standards in data modeling and architecture.
• Provide subject matter expertise in the Reinsurance domain for data analytics.
• Architect and oversee the integration of Power BI with various data sources, including Azure Data Lake Storage, Databricks, and other cloud or on-premise data platforms.
• Define analytic solution leveraging Databricks, DBT and Power BI.
• Develop and enforce development standards, governance policies, and best practices to ensure consistency, security, and maintainability across all reports and dashboards.
• Support the deployment of Power BI in enterprise environments, including managing data refresh schedules, security roles, and workspace governance.
• Identify and address performance bottlenecks in data pipelines and queries.
• Implement strategies to optimize data processing and reduce latency in data delivery.
• Optimize Power BI performance by implementing best practices in data modeling, query optimization, and report design.
• Produce comprehensive design documentation, deployment plans, and user guides.
• Stay current with Power BI innovations and industry best practices, recommending improvements to enhance reporting capabilities.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or a related field.
• 5+ years of experience working within the reinsurance domain, understanding its data and reporting needs.
• 10+ years of experience in data analytics, with extensive experience delivering enhanced data and analytical capabilities.
• Proven expertise in designing and implementing enterprise Power BI solutions, including data modeling, DAX, Power Query, and visualization best practices.
• Strong knowledge of cloud data platforms such as Azure Data Lake, Azure Synapse Analytics, Databricks, DBT and integration with Power BI.
• Familiarity with data governance, security, and compliance standards related to enterprise reporting.
• Excellent problem-solving skills and the ability to troubleshoot complex data issues.
• Strong communication skills and the ability to collaborate effectively with cross-functional teams.

Tech Stack

• Azure
• Cloud

Benefits

• health and welfare benefits
• tuition assistance
• 401K savings and other retirement programs
• employee assistance programs