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Lead Data Platform Engineer

Key Facts

Remote From: 
Category:  Data Engineer
Full time
Senior (5-10 years)
English

Other Skills

  • Team Leadership
  • Communication
  • Coaching
  • Mentorship

Roles & Responsibilities

  • 7+ years of experience designing, implementing, and leading enterprise-scale data platforms.
  • Deep expertise in Microsoft Fabric, Azure Data Services, and modern data/AI architecture patterns.
  • Strong proficiency in SQL, Python, and data modeling techniques; familiarity with CI/CD, DevOps for data, ML Ops, and infrastructure-as-code.
  • Bachelor's degree in a related field or equivalent experience; excellent communication and stakeholder management skills; demonstrated ability to lead small teams while remaining hands-on.

Requirements:

  • Architect and deliver scalable data and AI platform solutions using Microsoft Fabric, Data Lake, SHIR, Power BI, Fabric-native services, and Power Platforms.
  • Lead end-to-end data projects from ingestion and transformation to governance, observability, and consumption, ensuring data reliability, security, and performance.
  • Modernize infrastructure by migrating legacy systems to cloud-native and AI-enabled architectures; enable data and AI products and promote data mesh principles with domain teams.
  • Establish and enforce data quality, lineage, security, and monitoring standards; mentor and guide data engineers and platform developers; collaborate with product managers, business leaders, and vendors to deliver high-value outcomes.

Job description

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, data analytics, AI, and ML platforms. You’ll drive the design, development, and optimization of our enterprise data platform, integrating Power Platforms, Microsoft Fabric components with modern cloud-native and AI-driven technologies.

 

Day to day, you'll..

 

  • Architect & Build: Design and deliver scalable data AI platform solutions using Microsoft Fabric, Data Lake, SHIR, Power BI, Fabric-native services and Power Platforms. 
  • Lead Initiatives: Drive end-to-end implementation of data projects, from ingestion and transformation to governance, observability, 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, visualizationengineering, and business teams to deliver reusable data assets, semantic models, and self-service capabilities. 
  • 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 and vendors to prioritize and deliver high-value outcomes. 
What you'll bring to the team...:
  • 7+ years of proven experience designing, implementing, and leading enterprise-scale data platforms. 
  • 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.
  • Bachelors degree in a related field or the equivalent through a combination of education and related work experience.  
It would be even better if you also had...:
  • Masters degree in a related field or the equivalent through a combination of education and related work experience
  • Certifications in Azure Data Engineering, Azure ML and Microsoft Fabric.
  • Exposure to machine learning pipelines or advanced analytics.
  • Advanced (applied theory) Develop and deploy new tools to help protect, govern, validate and maintain the data sources used by the data science and analytics team
  • Advanced (applied theory) Experience Applying ML to data engineering problems
  • Experience with OneLake, Lakehouse architecture, and Fabric-native governance tools. 
  • Knowledge of data mesh principles and domain-oriented data ownership. 
  • Certifications in Azure Data EngineeringAzure ML and Microsoft Fabric. 

 

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: $125,500.00 - $200,800.00/Yr. Sponsored Job: #LI-SH1 #LI-Remote

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