Data Engineer

A high-scale Medical AI & HealthTech enterprise developing a life-saving platform that leverages advanced artificial intelligence to detect and analyze critical medical conditions in real time.

The company’s architecture processes massive streams of medical data, enabling rapid clinical decision-making across hospitals and healthcare networks worldwide.

Operating with exceptional financial stability and high-scale production systems, the company employs around 400 professionals globally, with its core R&D engine based in Israel.

Located in central Tel Aviv (walking distance from the train station), operating on a hybrid work model with 2 days WFH per week.

Role Description-

• Joining as a Lead / Staff Big Data Architect / Principal Data Engineer, acting as a focal technical authority working cross-functionally across engineering squads.
• Establishing Big Data methodologies, defining architectural standards, and orchestrating complex Data & AI engineering initiatives across high-scale teams.
• Designing and scaling high-throughput, low-latency streaming and batch data architectures handling massive volumes of complex data.
• Architecting modern Data Lakehouse / Data Warehouse ecosystems using Databricks, Delta Lake, Spark, Kafka, Kinesis, and DynamoDB.
• Hands-on development in cloud environments (Python, AWS, Terraform, EventBridge, SQS, SNS, S3).

Requirements-

• 6 years of hands-on software / data engineering experience – Mandatory
• Extensive, practical experience in Big Data engineering and complex data pipeline architectures – Mandatory
• Proven track record in High-Scale / Large-Scale production environments – Mandatory
• Deep expertise with modern Data Lakehouse / Data Warehouse architectures (Databricks, Delta Lake, Apache Iceberg, Snowflake, or AWS Redshift) – Mandatory
• Experience with distributed computing frameworks (Apache Spark) and event streaming / messaging architectures (Kafka, Kinesis, SQS, SNS) – Mandatory
• Strong technical leadership, architecture design capabilities, and cross-team execution skills – Mandatory
• Hands-on experience with AWS cloud infrastructure and Infrastructure as Code (Terraform) – Advantage