Apply on Employer Site

Kontakt.io · 22 hours ago

Data Platform Lead

New York, NY

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Kontakt.io is building a platform to enhance care operations by reducing waste and improving revenue through better asset utilization and staff productivity. As a Data Platform Lead, you will design and maintain scalable data infrastructure, enabling real-time analytics and AI-powered automation to improve healthcare delivery efficiency.

Artificial Intelligence (AI)Indoor PositioningInternet of ThingsLocation Based Services

Growth Opportunities

Responsibilities

Lead the team in designing and building scalable data pipelines (batch & streaming) to process RTLS, IoT, and EHR data

Implement real-time event processing architectures using Kafka

Optimize ETL/ELT processes for efficient data ingestion, transformation, and storage

Develop and maintain data lakes and warehouses for analytics and machine learning applications - create scalable data layers—bronze, silver, and gold—that facilitate advanced analytics and machine learning applications

Partner with software engineers and cloud teams to maintain a highly available data platform

Work closely with third-party vendors (e.g., EPIC, Cerner, Meditech) to integrate, standardize, and secure data from EHRs

Initiate and participate in architectural decisions to improve scalability, resiliency, and system efficiency

Ensure HIPAA and healthcare compliance standards are met in data storage and transmission

Optimize query performance, indexing, and partitioning for large-scale data processing

Implement role-based access control (RBAC), encryption, and anonymization for sensitive healthcare data

Qualification

Data engineeringCloud platforms (AWS)PythonApache SparkKafkaTimeScaleDockerKubernetesTerraformHealthcare experienceEHR systemsLeadershipMentoring

Required

A mature leadership approach, with the ability to drive technical strategy while growing and mentoring a high-performance Data Platform Engineering team

5+ years of experience as a Data Engineer, Data Platform Engineer, or related role

Proficiency in Python and Java for data processing and automation

Hands-on experience with big data frameworks like Apache Spark

Experience with streaming and batch processing using Kafka

Strong knowledge of cloud platforms (AWS) and their data processing services

Expertise in TimeScale

Familiarity with containerization and orchestration tools (Docker, Kubernetes, Terraform)