Lead Data Platform Engineer

• Posted 30+ days ago • Updated 6 hours ago
Full Time
USD $125,500.00 - 200,800.00 per year
Fitment

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Job Details

Skills

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

Summary

About the Role

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, visualization, engineering, 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.

Required Qualifications

  • 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.

Preferred Qualifications

  • 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 Engineering, Azure ML and Microsoft Fabric.

Why work for us

At H&R Block, our purpose is simple: to provide help and inspire confidence in our clients and communities everywhere. For more than 70 years, we've led the tax industry and we continue to evolve through our Block Next strategy, blending human expertise with digital innovation.

That same commitment to care extends to our associates. When you join us, you become part of a High Performing, Connected Culture built on strong relationships, continuous learning, and a shared commitment to making a meaningful impact. We invest in your well-being through competitive pay, comprehensive benefits, and support for life both in and outside of work.

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.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL52460
  • Position Id: abb14345ede1a0e074259acc506cb3b1
  • Posted 30+ days ago
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