Lead Data Engineer

H&R Block

3h • Remote

About The Position

We are seeking an accomplished Lead Data Engineer to spearhead the transformation of our financial services data platform. This hands-on leadership role combines deep technical expertise with strategic vision, building a modern data platform for financial services. You will lead the design, enhancement, and governance of our data systems, ensuring they are scalable, compliant, and resilient, while leveraging cloud-native and AI driven technologies.

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

Nice To Haves

• Experience in Banking and Financial Services Domain
• Hands on experience with .Net
• Experience leveraging Databricks for data engineering solutions

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.

Benefits

• Qualifying associates can enroll themselves and/or their eligible dependents in medical and prescription drug coverage; can participate in the H&R Block Retirement Savings Plan (401(k) Plan), the Employee Assistance Program, (virtual) fitness center programs, and the associate discount program; are automatically enrolled in Business Travel Accident Insurance; and receive Associate Tax Prep benefit.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees