Data Engineering Team Leader at Axonius United States

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Team Leadership, Python, SaaS, Cloud Technology, Streaming Solutions, Data Warehousing, Cybersecurity, ClickHouse, Quickwit, PostgreSQL, Redis, Dagster, RabbitMQ, Database Design, Cross-Functional Collaboration

Industry

Computer and Network Security

Description

Data Engineering Team Leader This Data Engineering Team Leader role involves leading a team of Data Engineers dedicated to developing and optimizing a mission-critical data platform for our healthcare clients. The team’s core mission is to manage high-scale data processes, leveraging advanced technologies to deliver vital security products. This position requires hands-on expertise alongside strong technical and people leadership. Responsibilities Lead, mentor, and directly manage the Data Engineering team, including formal oversight of professional development and defining technical priorities. Design, implement, and maintain data pipelines and architecture capable of reliably handling up to 500,000 requests per second across the platform. Drive technology adoption and methodology using tools like ClickHouse and Quickwit to evolve security products (NDR/PRM) and manage technical debt. Own the complete feature lifecycle, from initial design and production deployment to continuous monitoring and post-launch optimization. Minimum Qualifications 2+ years of experience directly leading a technical team (Team Leader/Manager) of engineers/developers. 7+ years of professional backend development experience, demonstrating proficiency in Python. Expertise in architecting and deploying scalable SaaS systems within cloud technology environments. Proven experience designing and implementing streaming or data-warehouse solutions for processing large-scale datasets. Preferred Qualifications Professional background in the cybersecurity domain or with IOT/IOMT systems. Demonstrated experience working with high-performance data technologies such as ClickHouse or Quickwit. Hands-on experience with core stack components, including PostgreSQL, Redis, or Dagster. Experience with message brokers (e.g., RabbitMQ) for asynchronous processing in a distributed system. Demonstrated ability to drive projects to completion across cross-functional teams. Expert command of database design principles for optimizing large-scale production datasets. #LI-HYBRID LI-DK1 (Dana) About Axonius: Axonius transforms cyber asset intelligence into actionability. With the Axonius Asset Cloud, customers preemptively tackle high-risk and hard-to-spot threat exposures, misconfigurations, and overspending. The integrated platform brings together data from every system in an organization’s IT infrastructure to optimize mission-critical risk, performance, and cost measures via actionable intelligence. Covering cyber assets, software, SaaS applications, identities, vulnerabilities, infrastructure, and more, Axonius is the one place to go for Security, IT, and GRC teams to continuously drive actionability across the organization. Cited as one of the fastest-growing cybersecurity startups, with accolades from CNBC, Forbes, and Fortune, Axonius supports millions of assets for leading customers across industries and around the world. Axonius makes it a priority to invest in our people with competitive compensation and benefits, growth opportunities, community-building, and so much more. Learn more about benefits at Axonius. At Axonius we support a diverse and inclusive workplace and believe in equal employment opportunity. We welcome people of different backgrounds, experiences, abilities and perspectives, regardless of race, color, ancestry, religion, age, sex, gender identity, national origin, sexual orientation, citizenship, marital status, disability, or Veteran status. By submitting your application to us, you acknowledge that your personal data will be processed in accordance with our Global Job Candidate Privacy Notice.

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Responsibilities

Lead and manage a team of Data Engineers to develop and optimize a data platform for healthcare clients. Oversee the complete feature lifecycle from design to post-launch optimization.