We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.
Location: Ramat Gan (Bursa area), Israel - Hybrid model
What will you do?
Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.
Requirements: Required qualifications:
5+ years of experience leading data engineering, data infrastructure, or related engineering teams, of 5+ people - a must
Strong technical background in data infrastructure, cloud computing, and production systems - a must
Hands-on experience with data warehousing tools such as Snowflake or BigQuery, and data pipeline orchestration tools such as Dagster or Apache Airflow - a must
Experience developing in Python
Experience productionizing big data, analytics, or data platform infrastructure
Experience leading agile teams and working with scrum methodologies
Demonstrated ability to lead multidisciplinary teams and collaborate effectively across interfaces.
Track record of helping teams improve how they work, including process improvement, automation, technical quality, or delivery practices.
Strategic mindset with the ability to connect technical decisions to team and business goals.
Strong English communication skills, written and spoken, for working with an international and multilingual team.
Preferred qualifications:
Experience working in a scientific domain.
Experience in biotech, immunology, life sciences, or another biology-adjacent domain.
Experience with agentic AI concepts, tools, or development patterns.
Experience helping software or data engineering teams transition toward AI-first development processes.
Familiarity with modern automation practices across engineering workflows, infrastructure, and delivery pipelines.
Desired personal traits:
AI-first and automation-oriented mindset.
Strong people's leadership instincts and a genuine drive to help others improve.
Collaborative, clear, and thoughtful communication style.
High ownership, good energy, and comfort operating across disciplines.
Curious, pragmatic, and able to balance strategy with hands-on technical judgment.
This position is open to all candidates.