Data Platform Engineering Manager: AI-Driven Healthcare

Garner Health

Abbeville (LA)

On-site

USD 310,000 - 385,000

Full time

14 days+

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Benefits offered by this job

Equity incentive
Flexible PTO
Medical/Dental/Vision
401(k)
Teladoc Health

Job summary

Garner Health is seeking a Data Engineering Manager to lead the Data Platform Team in NYC. You will own end-to-end design, implementation, and operational excellence for high-throughput data infrastructure powering internal and external applications.

You will champion an AI-native development philosophy, scale data pipelines, and mentor engineers while collaborating with Product and Engineering to align roadmaps with company goals.

Qualifications

  • 5+ years hands-on engineering experience with Big Data and distributed systems.
  • 2+ years of managing engineering teams and mentoring high-performing teams.
  • Experience with batch data processing frameworks (Hadoop, Spark, EMR).
  • Experience with stream processing systems (Kafka, RedPanda).
  • Proficiency with Temporal, Apache Iceberg, AWS Glue, Spark, DBT, Soda.
  • Strong ownership and ability to translate business needs into technical roadmaps.
  • Experience in dynamic startup environments and healthcare data standards (HIPAA, EDI) would be a plus.

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

Skills

Data Engineering
Team leadership
Big Data
Distributed systems
Architectural guidance
Stakeholder management
Mentoring
RCA

Tools

Hadoop
Spark
EMR
Kafka
RedPanda
Temporal
Apache Iceberg
AWS Glue
DBT
Soda
Snowflake
Airflow
Kubernetes

Job description

Garner Health is seeking a Data Engineering Manager to lead the Data Platform Team in NYC. You will own end-to-end design, implementation, and operational excellence for high-throughput data infrastructure powering internal and external applications.

You will champion an AI-native development philosophy, scale data pipelines, and mentor engineers while collaborating with Product and Engineering to align roadmaps with company goals.

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