Senior Cloud Data Architect for Healthcare Operations

5 hours ago


Remote Kraków, Czech Republic Kontakt Full time

Kontakt.io is a leading platform for care operations, driving improvements in asset utilization and staff productivity through AI-driven automation.

We reduce waste, cut costs, and enhance revenue by leveraging real-time data from various sources, including RTLS, IoT, and EHR systems. Our self-learning agents adapt in real-time to automate workflows, ensuring efficient care delivery operations.

Job Summary

We're seeking an experienced Senior Cloud Data Architect to design, build, and maintain scalable, high-performance data infrastructure. As a key member of our team, you will work with cutting-edge cloud and data technologies to enable real-time analytics, data ingestion, and machine learning applications.

Your primary focus will be on developing and maintaining robust data pipelines (batch & streaming) to process diverse data sources. You will also implement real-time event processing architectures using Kafka, optimize ETL/ELT processes for efficient data ingestion and storage, and ensure compliance with healthcare regulations.

The ideal candidate will have extensive experience in big data frameworks like Apache Spark, cloud platforms (AWS), and TimeScale. Additionally, they should possess expertise in SQL, Python, Scala, Java, Docker, Kubernetes, Terraform, and Agile methodologies.

You will partner closely with software engineers and cloud teams to maintain a highly available data platform. Your work will contribute significantly to improving scalability, resiliency, and system efficiency.

Key Responsibilities
  • Design and develop scalable data pipelines 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
  • Maintain data lakes and warehouses for analytics and machine learning applications
  • Partner with cross-functional teams to improve system efficiency and scalability
Requirements
  • 5+ years of experience as a Data Engineer, Cloud Architect, or related role
  • Expertise in big data frameworks like Apache Spark, cloud platforms (AWS), and TimeScale
  • Experience with SQL, Python, Scala, Java, Docker, Kubernetes, Terraform, and Agile methodologies
  • Strong knowledge of cloud security, compliance, and governance principles
What We Offer
  • Competitive compensation package
  • Opportunity to work with cutting-edge technology
  • Collaborative and dynamic work environment
  • Frequent opportunities for growth and professional development


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