BI & Data Engineering Team Lead

Tel Aviv · Full-time · Manager
About The Position

At Lusha, we’re building for builders. We build fast and AI-first - so we look for builders. By a builder, we mean someone who turns “maybe” into “done”.

We’re looking for a BI & Data Engineering Team Lead to join our BI team and take end-to-end ownership of high-impact analytics foundations while mentoring a team of 4-6 talented BI Data Engineers. This role sits at the core of how Lusha measures success, makes decisions, and scales—turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.

In this role, you'll combine people leadership with hands-on technical depth (roughly 30% of your time), owning the roadmap, architecture, and delivery of Lusha's BI platform. You’ll shape how AI and agentic workflows transform the way BI is built and consumed, helping raise the bar for analytics engineering across the company.

Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.

This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office. This is a Monday–Friday role.

This might be for you if:

You enjoy owning data foundations end to end — from raw data to semantic layers while leading and growing people
You like turning ambiguous business questions into clear, governed metrics and scalable data models
You care about data quality, performance, and trust at scale, as well as optimization and FinOps practices
You enjoy mentoring, setting technical standards, and leading by example with a hands-on approach (~30%)
You actively leverage AI tools and agentic automations to improve development speed, analytical accuracy, and metric governance
Requirements
6+ years of experience in Data Engineering / BI roles, including 3+ years leading and managing a data or BI team
Proven experience owning scalable, end-to-end data ecosystems, including team roadmaps, architecture decisions, and cross-functional delivery
Deep experience with modern data stacks (Databricks and/or Snowflake) and modern transformation frameworks
Advanced SQL and Python skills, including data quality, CI/CD, and observability
Strong understanding of dimensional modeling, data warehousing, and semantic layers
Proven experience using GenAI tools and AI-assisted development (e.g., Claude Code) as part of your day-to-day development workflow
A strong builder mindset, business orientation, and ability to lead cross-functional initiatives

Nice to have:

Experience leading a data platform migration
Experience with incremental processing patterns and FinOps optimization practices