Lead Engineer-Data Platforms

  • Posted 14 hours ago | Updated 1 hour ago

Overview

USD 117,700.00 - 188,300.00 per year
Full Time

Skills

Decision-making
Real-time
Data Integration
Leadership
Strategic Thinking
Optimization
Data Lake
Microsoft Power BI
Legacy Systems
Cloud Computing
Analytics
Semantics
Kubernetes
Data Quality
IT Management
Coaching
Collaboration
Partnership
Artificial Intelligence
SQL
Python
Data Modeling
Continuous Integration
Continuous Delivery
DevOps
Machine Learning Operations (ML Ops)
Communication
Stakeholder Management
Innovation
Mentorship
Data Engineering
Microsoft Azure
Microsoft
Machine Learning (ML)
Advanced Analytics
Financial Services
Retail
Law
Insurance
Taxes

Job Details

Our Company

We care about helping people. 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!
What you'll do...

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 (e.g., DataDog).
  • 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.

Why work for us

Since 1955, we have been leaders in tax preparation, financial services, and small business solutions. With 70,000 associates and 9,000 retail tax locations across North America, Australia, Ireland, and India, we have helped millions of clients and countless communities. If you embrace challenges as opportunities, value winning as a team, and seek to make a meaningful difference, join us on our journey. You'll reap the rewards of helping others along with competitive compensation and benefits to support your health and well-being.

Specific benefits may vary based on your role. For detailed eligibility requirements and benefits information, visit blockbenefits.com.

Equal Opportunity Employer: H&R Block does not tolerate discrimination based on a person's race, color, religion, ancestry, age, sex/gender (including pregnancy, childbirth, related medical conditions and sex-based stereotypes and transgender status), 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.
Pay Range Information

The pay range for this position is listed below. Local minimum wage laws apply. This information is posted pursuant to local requirements to provide applicants with information about what they might be eligible to receive. Individual pay decisions will depend on job-related factors such as experience, education, skill, performance, and geographic location where work will be performed. Successful candidates may be able to participate in one or more incentive compensation or short-term incentive plans, which could generate additional earnings in accordance with the terms of each plan.
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.
Pay Range

$117,700.00 - $188,300.00/Yr.
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