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

Our enterprise data and engineer platforms team is currently hiring for a Manager of Data Engineering & Platform Engineering, in our Worcester, MA corporate office or remote work consideration.    POSITION OVERVIEW:   We are seeking a Manager, Data Engineering & Platform Engineering to lead the development, operation, and continuous improvement of our enterprise data platform and engineering capabilities.   This role is responsible for building and developing a high-performing team, advancing our cloud data platform strategy, and ensuring scalable, secure, and reliable data solutions that support business growth.   This leader will play a key role in the adoption and maturation of Microsoft Fabric, partnering across technology, architecture, governance, and business teams to deliver modern data solutions while maintaining operational excellence.   This is a full time, exempt position.    WHAT YOU’LL DO:   Leadership & Talent Development 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.   Platform & Engineering Leadership 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.   Solution Delivery & Architecture 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.   Operational Excellence & Governance 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.   WHAT YOU’LL BRING:   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.   BONUS POINTS:   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.