Manager, Data Engineering & Platform Engineering (REMOTE OR MA BASED)

The Hanover Insurance Group is seeking a Manager of Data Engineering & Platform Engineering to lead development, operation, and continuous improvement of its enterprise data platform and engineering capabilities. The role develops a high-performing team, advances cloud data platform strategy and Microsoft Fabric adoption, and delivers secure, scalable, reliable data solutions while maintaining operational excellence.

Responsibilities:

• Lead, coach, and develop a team of data engineers and platform engineers
• Foster a culture of accountability, collaboration, innovation, and continuous learning
• Support hiring, onboarding, career development, succession planning, and employee engagement initiatives
• Build organizational capabilities by identifying skill gaps and developing 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 organization's data platform strategy, including Microsoft Fabric adoption and modernization efforts
• Establish and promote 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
• Provide guidance on architecture decisions related to data pipelines, lakehouses, data warehouses, semantic models, and platform services
• Lead delivery of 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 that promote data quality, platform reliability, security, and supportability
• Monitor platform performance, usage, and costs, driving continuous improvement opportunities
• Lead operational issue resolution, root cause analysis, and service improvement efforts
• Stay current on emerging cloud and data technologies, identifying 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 eligble to work in the United States without requiring sponsorship (IE. US citizen or Greencard 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
• Strong understanding of:
  • Data Engineering best practices
  • Lakehouse and Data Warehouse architectures
  • DataOps and CI/CD methodologies
  • Platform observability and monitoring
  • Data governance and security frameworks
  • Performance optimization and scalability
• Demonstrated success leading complex, cross-functional initiatives from strategy through implementation and support
• Experience implementing or migrating enterprise data platforms to Microsoft Fabric
• Experience with Power BI, Semantic Models, OneLake, Lakehouse, and Data Factory
• Experience with Infrastructure as Code (IaC) and platform automation
• Microsoft Fabric, Azure Data Engineer Associate, or related cloud certifications
• Insurance industry experience