Manager Engineering & Sr Data Architect

About the role

The Doctors Company is seeking a Manager Engineering & Sr Data Architect for a hybrid position preferably located at the New York City office or any other TDC Group or ProAssurance office. The role leads the Data and AI architecture and engineering function as a technical manager with direct accountability for team performance, staffing, talent development, technical direction, and delivery. It supervises a team of data engineers, analytics engineers, and architects, owns Microsoft Fabric architecture, enterprise data and semantic modeling, integration design, and governed AI enablement while building an engaged, capable, and accountable team.

Responsibilities

• Clearly define and communicate team roles, expectations, and responsibilities.
• Provide coaching, guidance, and support to help employees achieve performance and development goals.
• Deliver consistent, constructive feedback to recognize achievements, address challenges, and reinforce desired behaviors.
• Conduct regular 1:1 meetings and ensure timely completion of performance review cycles, maintaining alignment and accountability.
• Hold staff accountable for compliance with organizational policies and standards.
• Foster a culture of continuous learning, innovation, and accountability by encouraging team members to pursue new challenges and opportunities.
• Model and reinforce organizational values, actively recognizing and celebrating behaviors that exemplify them.
• Own the end-to-end Microsoft Fabric reference architecture across OneLake, Lakehouse, Warehouse, Pipelines, Dataflows Gen2, notebooks, Real-Time Intelligence, Power BI, workspaces, domains, and capacities.
• Lead the team delivering foundational Fabric patterns and priority platform components; stay hands-on for high-risk design, prototyping, review, and troubleshooting.
• Define medallion, batch, CDC, streaming, mirroring, shortcut, deployment, security, monitoring, and capacity‑management patterns.
• Maintain current architecture diagrams, standards, roadmaps, architecture decisions, and implementation guardrails.
• Own conceptual, logical, physical, canonical, dimensional, and enterprise semantic model standards across policy, claims, provider, patient safety,