Lead Data Engineer

H&R Block is a leader in tax preparation and financial services, seeking a Lead Data Engineer to transform their financial services data platform. This role involves designing and implementing scalable data solutions, optimizing data systems, and providing technical leadership to ensure high-quality data governance and architecture.

Responsibilities:

• Design and deliver scalable data solutions using Azure Data Services, Microsoft Fabric, and C# .NET
• Create robust, maintainable data models to power analytics and product development across financial services
• Optimize existing data systems and pipelines to improve performance, scalability, and cost efficiency
• Drive end-to-end implementation of financial domain data solutions - from ingestion and transformation through governance and consumption - ensuring reliability, security, compliance, and performance across critical systems
• Migrate legacy financial services data systems to cloud-native architectures delivering resilient, compliant, and cost‑efficient infrastructure
• Collaborate cross-functionally with product managers, business leaders, analysts, and engineers to understand data needs and translate them into high-quality scalable architectures
• Establish and enforce data engineering standards for data governance, quality, observability, and documentation across the stack
• Provide technical leadership, coaching, and career development for data engineers and drive technical excellence and innovation across engineering efforts

Requirements:

• Bachelor's degree in a related field or the equivalent through a combination of education and related work experience
• 8 years minimum related work experience
• 7+ years of proven experience designing, implementing, and leading enterprise-scale data solutions
• Deep expertise in Azure Cloud Technologies and Data Services - Azure Data Factory, Microsoft Fabric, and modern data and AI architecture patterns
• Strong proficiency in SQL and data modeling techniques
• Familiarity with CI/CD pipelines, DevOps for data, and infrastructure-as-code
• Excellent communication and stakeholder management skills
• Demonstrated ability to lead teams while remaining hands-on with complex technical challenges
• Passion for innovation, continuous learning, and mentoring others
• Experience in Banking and Financial Services Domain
• Hands on experience with .Net
• Experience leveraging Databricks for data engineering solutions