Data Platform Lead

About Kontakt.io

Kontakt.io is building the platform that care operations run on.

We reduce waste, cut costs, and improve throughput in hospitals by automating and orchestrating clinical workflows. Using AI, real-time location data (RTLS), and deep EHR integration, our platform enables care teams to operate with real-time intelligence and financial discipline.

Trusted by leading U.S. health systems including HCA, Sutter Health, AdventHealth, Trinity Health, and the U.S. Department of Veterans Affairs — and backed by Goldman Sachs — we are scaling rapidly toward the next phase of durable, disciplined hypergrowth.

As a Data Platform Leader, you will play a crucial role in designing, building, and maintaining scalable, high-performance data infrastructure. You will work with cutting-edge cloud and data technologies to enable real-time analytics, data ingestion, and machine learning applications. Your work will enable AI-powered automation, allowing hospitals and healthcare facilities to improve efficiency, reduce costs, and deliver better, faster care.If you’re passionate about scalable data systems, AI-driven automation, and transforming care delivery operations, join Kontakt.io and help us redefine the future of healthcare!

Responsibilites

• 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.

What You Bring

• 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)

• Bonus Skills

• Previous experience in healthcare, hospital operations, or real-time systems.

• Experience working with EHR systems (Epic, Cerner, Meditech)

Ready to Build the Future of Healthcare?

Apply now and help to build the platform that care operations run on. 🚀