Senior Data Engineer (Must be on-site)

Key Responsibilities Data Platform & Migration

• Design the firm"s data architecture in Microsoft Fabric, including a Lakehouse / medallion (bronze-silver-gold) model, and lead the migration of legacy SQL databases, ETL server processes, and aging vendor reporting into it.
• Establish engineering standards for source control, CI/CD, testing, monitoring, and documentation across the data estate.
• Define how data is delivered to and interacts with users through semantic models, Power BI, and self-service tooling, with a clear vision for the end-user experience.
• Leverage AI (Microsoft Copilot, agents, and AI-assisted development) to accelerate delivery and unlock new analytical and operational capabilities. Operations & Reliability
• Partner with business teams to identify opportunities to add efficiency or capability through technology, and translate those into architected solutions.
• Build resilient, stress-tested solutions and lead root-cause diagnosis when processes fail.
• Document architecture, dependencies, and runbooks so critical knowledge is shared, not siloed. Required Qualifications
• Bachelor's degree in a related field, or equivalent demonstrated experience defined as eight (8) or more years in data engineering/architecture roles, including at least one delivered production migration to a modern data platform. Relevant certifications (e.g., Microsoft DP-600 Fabric Analytics Engineer or Azure Data Engineer Associate) may substitute for formal education.
• Demonstrated experience architecting and delivering modern data platforms. Direct Microsoft Fabric experience is strongly preferred; equivalent, transferable experience on Azure Synapse, Databricks, or a comparable Lakehouse platform
• Strong SQL engineering skills (not just data extraction) and proven ability to model, transform, and land data in its intended destination.
• Hands-on experience building data pipelines / ETL and integrating disparate systems via APIs.
• Proficiency with Power BI semantic models and report development.
• Comfort working in a Microsoft 365 / Azure ecosystem (OneDrive, SharePoint, Teams, Entra).