Were seeking a Data Team Lead to own and evolve the data layer that powers our SaaS production environments. Youll design, implement, and maintain mission-critical systems while leading the team responsible for the reliability, performance, and scalability of our data layer.
As the Data Team Lead, you will
Lead a distributed team operating across Israel and the United States.
Own the data layer across our SaaS production environments - overseeing its stability, scalability, and continuous evolution.
Set the vision and roadmap for our data layer across our SaaS production environments.
Drive solutions that improve resilience and efficiency across the data layer, leveraging modern infrastructure and platform practices across the stack.
Collaborate globally with DevOps, R&D, Support, and SRE teams to streamline data operations, improve queries and workflows, and ensure efficient use of our data platforms.
Measure and improve uptime, performance, and operational excellence.
Develop talent, knowledge-sharing, and best practices within the team.
Stay ahead of technology trends to keep the platform modern and secure.
Define guardrails, automation, and infrastructure-as-code for database operations.
Analyze usage patterns and monitor health and performance, driving an ongoing optimization roadmap.
Requirements: 5+ years of experience working with production data platforms or large-scale databases.
3+ years leading teams (formal management or tech leadership).
Strong expertise with PostgreSQL - including performance tuning, troubleshooting, query optimization, and incident analysis.
Experience with cloud-managed database services (e.g., AWS RDS/Aurora, Google Cloud SQL, Azure Database).
Solid experience operating data systems in production, high-availability environments.
Hands-on background with infrastructure and platform practices (e.g., automation, IaC, containers, cloud environments).
Experience with scripting languages, such as Python.
Strong analytical and problem-solving skills, with the ability to make sound decisions under pressure.
Excellent communication skills and ability to lead through influence and ownership.
Comfortable balancing hands-on execution with team leadership and mentoring.
Experience with additional data technologies (Redis, Kafka, MongoDB, etc.).
Experience building and leading data reliability programs (backups, recovery, migrations, audits, etc.).
This position is open to all candidates.