Lead Engineer - data Platforms

Lead Data Platform Engineer

Our purpose is to provide help and inspire confidence in our clients and communities everywhere. Our associates feel a sense of belonging in an inclusive place with an amazing history and a sharp focus on our future. Our connected culture is who we are and how we work together to achieve our strategies, accelerate our transformation, and achieve extraordinary results. It's an exciting time to be a part of H&R Block!

Work on a team that is on a mission to transform how data and AI empower decision-making across the enterprise. Our Data Platforms team is building scalable, secure, and intelligent infrastructure to support advanced analytics, real-time insights, and seamless data integration. We are creating a unified data foundation that accelerates innovation and drives measurable business impact.

As a visionary Lead Data Platform Engineer to architect, you will evolve, and lead our next-generation AI and data ecosystem. This is a hands-on leadership role that blends technical depth, strategic thinking, and shaping the technical vision of a modern data, AI, and ML platform. You’ll drive the design, development, and optimization of our enterprise data platform, integrating Microsoft Fabric components with modern cloud-native and AI-driven technologies.

Architect & Build: Design and deliver scalable data AI platform solutions using Microsoft Fabric, Data Lake, SHIR, Power BI, Fabric-native services and AI/ML toolsets.

Lead Initiatives: Drive end-to-end implementation of data and AI projects, from ingestion and transformation to governance, observability, ML Ops, and consumption. Ensure high standards of data reliability, security, and performance.

Modernize Infrastructure: Migrate legacy systems to cloud-native and AI-enabled architectures, ensuring performance, reliability, and cost-efficiency.

Enable Data & AI Products: Collaborate with analytics, AI/ML, engineering, and business teams to deliver reusable data assets, semantic models, and self-service capabilities.

Implement ML Ops & AI Ops: Collaborate with data scientists and ML engineers to establish robust ML Ops pipelines and operationalize AI models using tools like Azure ML, MLflow, and Kubernetes.

Promote Data Mesh Principles: Work with domain teams to decentralize data ownership and promote self-service capabilities that include data and AI services.

Champion Best Practices: Establish and enforce standards for data quality, lineage, security, and monitoring.

Mentor & Guide: Provide technical leadership, coaching, and career development for data engineers and platform developers.

Cross-Functional Partnership: Work closely with product managers, business leaders, AI/ML practitioners, and vendors to prioritize and deliver high-value outcomes.

What you'll bring to the team...

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 platforms and AI/ML solutions.

Deep expertise in Microsoft Fabric, Azure Data Services and modern data and AI architecture patterns.

Strong proficiency in SQL, Python and data modeling techniques.

Familiarity with CI/CD pipelines, DevOps for data, ML Ops practices, and infrastructure-as-code.

Excellent communication and stakeholder management skills.

Demonstrated ability to lead small teams while remaining hands-on with complex technical challenges.

Passion for innovation, continuous learning, and mentoring others.

It would be even better if you also had...

Experience with OneLake, Lakehouse architecture, and Fabric-native governance tools.

Knowledge of data mesh principles and domain-oriented data ownership.

Certifications in Azure Data Engineering, Azure ML and Microsoft Fabric.

Exposure to machine learning pipelines or advanced analytics.

Equal Opportunity Employer: H&R Block does not tolerate discrimination based on a person's race, color, religion, ancestry, age, sex/gender, sexual orientation, gender identity or expression, service in the Armed Forces, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law.

The pay range for this position is $117,700.00 - $188,300.00/Yr.