Manager, Engineering (Data Platform)

What youll be part of

Garner is on a mission to transform the U.S. healthcare system and were the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550 proprietary clinical metrics across 80 specialties to a dataset of 320M patients to identify the best-performing doctors then using compelling incentives to steer members to the care that helps them get healthier faster.

The result is a rare win win better care and lower costs for both members and just five years our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If youve ever wanted your work to solve a problem that touches every person in this country this is the opportunity to do exactly that. Youd be joining a team fundamentally reimagining healthcare in the U.S. and using AI to scale that impact further and faster than anyone else can.

About the role:

We are seeking an execution-focused and visionary Data Engineering Manager to lead our Data Platform 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 Garners 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

The ideal candidate has:

• 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

Technologies we use:

• Python Spark dbt SnowFlake Iceberg Airflow OpenMetadata Kubernetes NATS AWS Terraform Claude Code

This is a unique opportunity to join a fast-growing company in a transformative role helping shape the future of healthcare.

Compensation Transparency:

The target salary range for this position is $310000 - $385000. Individual compensation for this role will depend on various factors including qualifications skills and applicable addition to base compensation this role is eligible to participate in our equity incentive and competitive benefits plans including but not limited to: flexible PTO Medical/Dental/Vision plan options 401(k) Teladoc Health and more.