Manager, Data Engineering – Platform Engineering

🔥 19 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 10%

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The Hanover Insurance Group

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1852

🛡️ Insurance

🤝 B2B

👥 B2C

💰 $500M Post-IPO Debt - The Hanover Insurance Group on 2025-08

Insurance • B2B • B2C

The Hanover Insurance Group is a U. S. -based insurance company that provides personal and commercial insurance products and services. Hanover offers individual lines such as home, auto, motorcycle, umbrella, condominium, renters, and specialty coverages (collector cars, watercraft, valuable items), as well as comprehensive business products including business owner’s policies, commercial auto, workers' compensation, management liability, cyber, professional liability, property, surety, and industry-specific coverages for construction, healthcare, life sciences, retail, and more. The company supports customers and agents with claims services, policy management tools, educational resources, risk solutions, and an agent/broker distribution network. Hanover emphasizes customer service, preparedness resources, corporate responsibility, and agent support.

📋 Description

• Lead, coach, and develop a team of data engineers and platform engineers • Foster accountability, collaboration, innovation, and continuous learning • Support hiring, onboarding, career development, succession planning, and employee engagement initiatives • Identify skill gaps and develop technical talent aligned to the data platform roadmap • Lead the development, operation, and support of enterprise data platforms and engineering solutions • Execute and contribute to the data platform strategy, including Microsoft Fabric adoption and modernization efforts • Establish best practices across Data Engineering, DataOps, CI/CD, monitoring, automation, testing, and operational excellence • Drive platform standardization and automation to improve reliability, scalability, and efficiency • Ensure data platforms remain secure, resilient, maintainable, and cost-effective • Partner with architects, business stakeholders, and technology teams to design and deliver enterprise-scale data solutions • Guide architecture decisions related to data pipelines, lakehouses, data warehouses, semantic models, and platform services • Lead strategic initiatives while balancing business priorities, platform health, and technical debt reduction • Collaborate with governance, security, and architecture teams to ensure compliance with enterprise standards and policies • Establish standards promoting data quality, platform reliability, security, and supportability • Monitor platform performance, usage, and costs, driving continuous improvement • Lead operational issue resolution, root cause analysis, and service improvement efforts • Stay current on emerging cloud and data technologies and identify opportunities to improve platform capabilities and engineering practices

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field • 7+ years of experience in Data Engineering, Platform Engineering, Cloud Data Platforms, or related disciplines • Must be eligible to work in the United States without requiring sponsorship (i.e. US citizen or Green Card holder) • Proven experience leading technical teams and developing engineering talent • Strong experience designing, building, and supporting enterprise-scale data platforms • Advanced SQL, data modeling, and data architecture expertise • Hands-on experience with Microsoft Fabric, Azure Data Services, Azure Synapse Analytics, Azure Data Factory, Databricks, or similar cloud technologies • Understanding of Data Engineering best practices • Understanding of Lakehouse and Data Warehouse architectures • Understanding of DataOps and CI/CD methodologies • Understanding of platform observability and monitoring • Understanding of data governance and security frameworks • Understanding of performance optimization and scalability • Demonstrated success leading complex, cross-functional initiatives from strategy through implementation and support • Bonus: Experience implementing or migrating enterprise data platforms to Microsoft Fabric • Bonus: Experience with Power BI, Semantic Models, OneLake, Lakehouse, and Data Factory • Bonus: Experience with Infrastructure as Code (IaC) and platform automation • Bonus: Microsoft Fabric, Azure Data Engineer Associate, or related cloud certifications • Bonus: Insurance industry experience

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