Manager, Engineering (Data Platform)

We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform Team. In this critical role, you will manage a team of talented engineers dedicated to building the common, reusable abstractions and high-throughput data infrastructure that power Garner’s internal and external applications. You will champion an AI-native development philosophy and scale our data pipeline capabilities, ensuring our systems seamlessly support the heavy computational demands of our next phase of company-wide growth.

Responsibilities

Lead and manage the Data Platform Engineering team, owning the end-to-end design, implementation, and operational excellence of systems that process complex healthcare data; Provide high-quality technical contributions and architectural guidance, establishing robust standards for data modeling, processing, and system maintainability; Build and optimize common data abstractions, pipelines, and frameworks designed for high scalability, ensuring our platform keeps pace with exponential enterprise data growth; Translate complex, ambiguous business and data requirements into well-scoped, accurately estimated, and composable architectural pieces; Foster and drive an AI-native engineering culture within the team, integrating cutting-edge AI tools and integrations to enhance development workflows and automate data operations; Manage and grow stakeholder relationships across Engineering and Product, aligning team priorities with departmental OKRs and broader business goals; Mentor, coach, and guide your team members, conducting detailed design reviews and managing robust Root Cause Analyses (RCA) to continuously elevate technical rigor

Requirements

5+ years of hands-on engineering experience, with a focus on Big Data and distributed system and infrastructure; 2+ years of managing engineering teams, with a track record of building and mentoring high performing teams; Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc.; Experience with stream processing systems such as Kafka and RedPanda; Proficiency with technologies such as Temporal, Apache iceberg, AWS glue, Spark, DBT, and Soda; Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps; Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success; A desire to be a part of our mission to improve the U.S. healthcare system; A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Nice to have

Preference for managing healthcare data standards (e.g. HIPAA, EDI)

Benefits

Equity incentive; Competitive benefits plans; Flexible PTO; Medical/Dental/Vision plan options; 401(k); Teladoc Health