Teams at Lusha

Lead design and delivery of scalable batch and real-time data pipelines, enforce engineering best practices (CI/CD, testing, observability), mentor data engineers, drive data architecture decisions (modeling, storage, compute), collaborate cross-functionally, and expand data product capabilities using cloud platforms such as Databricks and Snowflake.

Own and evolve end-to-end analytics foundations: design data models, pipelines, and BI layers; collaborate with Data Science and business stakeholders; ensure data quality, performance, and trusted metrics; use GenAI to speed analytics engineering; mentor and set standards across the company.

Partner with Go-To-Market and Revenue teams to analyze revenue drivers, define commercial metrics, optimize the sales funnel, build forecasts, run experiments, and turn complex data into actionable growth recommendations using SQL and GenAI.