Senior Manager, Data Engineering

Job Title: Senior Manager, Data Engineering Department: Product Development About the Role : The Senior Manager, Data Engineering will be an important contributor in pushing forward the implementation of the company vision into a releasable and valuable product. You will help ensure that the team’s technical direction is properly aligned with the department and company’s architectural direction. In order to accomplish these tasks, you will need to cultivate a dynamic, ever-learning team culture that seeks to create value for customers in a continuous manner. This role offers an opportunity to have a significant impact on the future of healthcare. Senior Manager, Data Engineering drives the simplification and optimization of concurrent project delivery, scheduling, and any processes that cross team boundaries. Senior Manager, Data Engineering proactively identifies and mitigates risks before they become roadblocks. They demonstrate good judgment in how and when to escalate without damaging relationships. What You'll Do : Team Leadership & People Development Lead, mentor, and grow a team of highly skilled data engineers, fostering technical excellence and career development. Manage team performance from both a technical and personnel perspective, supporting each team member's individual goals and growth. Own on-call rotation structure and reduce operational toil through automation and self-service tooling. Technical Strategy & Architecture Design and implement data architecture and infrastructure that aligns with business objectives, including the team's work on a secure, interoperable platform leveraged across all Unite Us products. Drive the design, performance, and cost-efficiency of the data lakehouse, data modeling standards, access controls, and query optimization. Establish and enforce engineering best practices: code review standards, testing, CI/CD, monitoring, and incident response for data pipelines. Champion strong documentation practices — runbooks, architecture decision records, and onboarding guides. Roadmap & Execution Own creation and execution of the team's roadmap, defining priorities, sequencing initiatives, and aligning timelines with business goals. Manage team capacity planning, sprint/project planning, and roadmap prioritization in collaboration with stakeholders. Cross-Functional Collaboration Partner with Application Engineers, Product Managers, and other engineering teams to translate data needs and business requirements into scalable pipeline designs and platform extensions. Collaborate with senior leadership to translate high-level initiatives into actionable team goals, advocate for necessary resources, and report on key performance indicators. Disseminate clear goals, context, and vision across the team and with cross-functional partners. Hiring & Talent Participate in hiring: define role requirements, conduct interviews, and build a strong bench of talent. You’re a great fit for this role if : At least 7+ years of experience with a track record of building and scaling high-performing engineering teams and delivering high-quality software solutions. At least 3+ years of direct management experience with product-focused engineering teams. Experience with cross-functional collaboration, data-driven performance tracking, and direct customer or stakeholder engagement. Proven experience owning production data pipelines at scale, ideally with Apache Airflow (DAG design, scheduling, backfills, sensor/operator patterns) Deep hands-on experience with Snowflake or a comparable cloud data warehouse (Redshift, BigQuery), including performance tuning, cost management, and analytic layers Strong SQL and at least one scripting language (Python preferred) for pipeline development Experience with modern data stack tooling (dbt, Fivetran/Airbyte, Kafka, or similar) is a plus Experience with data governance, lineage, or data quality frameworks Experience operating in a regulated or compliance-sensitive data environm…