Senior Manger, Data Engineering

The Senior Manager, Data Engineering leads a team of data engineers responsible for designing, building, and operating the scalable data pipelines, architectures, and platforms that power AssistRx ’s data-driven initiatives. This role blends hands-on technical leadership with people management, owning delivery across multiple concurrent client implementations and internal data programs. Partnering closely with product, analytics, engineering, and business stakeholders, the Senior Manager translates strategic priorities into executable engineering roadmaps, develops talent, and ensures the team consistently delivers reliable, high-quality, and compliant data solutions. This role is accountable for both the technical health of the data platform and the growth and performance of the engineering team. Team Leadership & People Management • Lead, mentor, and develop a team of data engineers, setting clear goals, expectations, and growth plans. • Conduct performance reviews, provide ongoing coaching, and support career development across the team. • Manage resourcing, capacity planning, and workload balancing across multiple projects and clients. • Foster a collaborative, inclusive, and high-performing engineering culture. Delivery & Execution Management • Own end-to-end delivery of data engineering initiatives, ensuring quality, timeliness, and alignment with business goals. • Plan, prioritize, and track team workstreams across client onboarding, migrations, and platform enhancements. • Remove blockers, manage risks and dependencies, and escalate issues appropriately to leadership. • Partner with project and program managers to set realistic timelines and commitments. Technical Oversight & Architecture • Provide technical direction for ETL/ELT development using Azure Data Factory, dbt, Snowflake, Salesforce, and related platforms. • Review and guide data architecture, models, warehouses, data lakes, and data vault designs for scalability and maintainability. • Ensure adop