Senior Data Engineer at Noma Security

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

05 Sep, 26

Salary

0.0

Posted On

07 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipeline Design, Snowflake, Databricks, SQL, Data Modeling, BI Dashboards, Data Architecture, Scalability, Data Governance, Data Warehousing, Cross-functional Collaboration

Industry

Computer and Network Security

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 a Senior Data Engineer at Noma Security, you will play a key role in building and scaling the company’s data infrastructure. You’ll be responsible for creating the foundation that enables teams across the organization to access, analyze, and leverage data effectively. Working closely with Data Science, Delivery, Product, GTM, and Analytics teams, you’ll design and maintain data pipelines, manage our data warehouse, and transform raw data into structured, reliable assets that power business and product decisions. 🛠️ What You’ll Do Build and Manage Data Infrastructure: Own and maintain Noma’s data warehouse infrastructure, ensuring scalability, reliability, and performance 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 pipelines and data infrastructure at scale 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 building data platforms in high-growth startup environments 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 null About The Company null

Responsibilities

Build and scale the company's data infrastructure, including the design and maintenance of data pipelines and the data warehouse. Partner with cross-functional teams to create BI dashboards and ensure data quality for business and product decisions.