Founding Data Engineer

Location: Tel Aviv (IL)

Experience Level: Senior

Description

Join Noma Security and help shape the future of AI security in a fast-paced, high-impact environment.

Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At Noma, you’ll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters.

As Noma's Founding Data Engineer, you will be the first dedicated Data Engineer at the company, with the opportunity to build our data engineering function from the ground up. You'll own the architecture and foundations of Noma's internal data platform - the central warehouse, pipelines, and models every team relies on to understand how our product is performing, and provide tools for day to day operations. You'll define how data from across the company is collected, modeled, transformed, and governed, and establish the standards and best practices that will scale with Noma as we grow. Working closely with Engineering, Data Science, Delivery, Product, and Analytics teams, you'll turn data into reliable, structured assets that power product and business decisions.

🛠️ What You’ll Do

• Build Noma’s Data Engineering Function: Be the first dedicated Data Engineer at Noma and will be required to be opinionated about the warehouse architecture, tooling, standards, and best practices for how we work with data across the company.
• Develop Data Pipelines: Design, build, and maintain data pipelines that transform company data into structured, queryable assets
• Enable Data-Driven Decisions: Partner with Engineering, Data Science, Product and Analytics teams to deliver trusted data foundations and actionable insights.
• Create BI Dashboards: Build and maintain dashboards and reporting layers that support product, and operational decision-making
• Ensure Data Quality and Accessibility: Implement best practices for data modeling, governance, monitoring, and reliability

✅ What You Bring

• 5+ years of experience in Data Engineering roles
• Proven experience designing and building data infrastructure from the ground up, with the ability to independently drive architecture and technology decisions.
• 3+ years of experience working with modern data warehouse technologies such as Snowflake or Databricks
• Strong SQL skills and experience working with large-scale datasets
• Experience creating data models and BI dashboards serving business, product, or analytics teams
• Strong understanding of data architecture, performance, and scalability considerations
• Ability to work cross-functionally with technical and non-technical stakeholders
• Strong ownership mindset and a pragmatic approach to problem solving

🎯 Nice to Haves

• Experience working closely with Data Science teams
• Background in cybersecurity, infrastructure, deep tech, or AdTech environments
• Experience as an early or first Data Engineer at a startup, or building a data platform from an early stage.
• Familiarity with modern data orchestration and transformation tools

💙 Perks & Benefits

• Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail.
• A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶
• Team bonding activities, company retreats, happy hours, and holiday gifts
• Pilates classes at the office 💪🧘‍♀️
• Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️
• A warm, supportive, and people-first company culture
• Pension & Keren Hishtalmut (advanced training fund)
• A global work environment with teams across Tel Aviv, the US, the Netherlands, and London
• Options that let you share in Noma’s growth and success

Requirements

About The Company