Data Engineering Lead

About Us:

Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We empower organizations to unlock AI capabilities while staying protected, compliant, and in control. Our platform is trusted by leading Fortune 500 companies and offers centralized visibility, vulnerability management, and policy enforcement across AI-driven systems. With $38M raised in Series B funding, we are scaling fast and looking for mission-driven individuals to join us in securing the AI revolution.

About the Role: 

We are seeking a Data Engineering Lead to own and scale Zenity’s data platform infrastructure

• Build our new data Lakehouse to support various product and business needs
• Support cutting-edge AI Agents and cybersecurity use cases
• Be part of the Data and AI Algorithms group
• Collaborate closely with dev teams, AI/ML engineers, security researchers and business teams
• Ensure the availability, reliability and quality of our data infrastructure
• Help define best practices for data modeling and orchestration at scale

Requirements

Qualifications:

• 6+ years of hands-on experience in building, modelling and managing data warehouse at scale - Must
• Production experience with big-data distributed systems such as Apache Spark, Ray or similar - Must
• Hands-on with modern data lakes and open table formats (Delta Lake, Apache Iceberg) - Must
• Experience in batch and streaming processing pipelines - Must
• Strong coding skills in Python. Strong CI/CD and infrastructure-as-code capabilities.
• Experience with cloud-native data services (e.g., AWS EMR, Athena, Azure Data Explorer etc.).
• Familiarity with orchestration tools like Airflow, Kubeflow, Dagster or similar
• Excellent communication skills, ownership mindset, and problem-solving capabilities