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# Manager, Engineering (Data Platform)

- **Company:** Garner Health
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $310,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Apache HTTP Server, Big Data, Information Engineering, Data Infrastructure, Distributed Systems, Apache Hadoop, DataOps, User-Centered Design, Simple Object Database Access, Apache Spark, Electronic Medical Records, AWS Glue, Health Level Seven International, Integration Frameworks, Apache Kafka, Stream Processing, Data Pipelines
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/5857d734-d484-4c70-93e8-b7732b3e4f33/manager-engineering-data-platform

## About the Role

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

## Description

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.

Where you will work:

This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

 * 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