What youll do:
were building a platform by developers, for developers. As a Data Engineering Team Lead, youll balance leadership and data engineering work – setting technical direction while enabling your team to thrive.
Your responsibilities will include:
Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a shared data warehouse.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Develop and provide a data backend for product facing features such as usage analytics, data insights and enabling an agentic context lake
Collaborate with cross-functional teams (product, R&D, analysts) to deliver actionable data solutions tailored to their needs.
2+ years of experience leading a team, balancing people management with hands-on technical leadership.
5+ years of experience in Data Engineering, designing and operating scalable data platforms and pipelines.
Strong expertise in data warehousing, data modeling (including dimensional modeling and SCDs), and building ETL/ELT pipelines at scale.
Hands-on experience with modern data platforms and tooling, including technologies such as Snowflake, Databricks, BigQuery, Redshift, Airflow, dbt, Fivetran, Airbyte, or similar.
Expert-level SQL skills and experience working with large-scale datasets, including CDC-based architectures and NoSQL databases.
Strong software engineering skills, including experience with Python and modern backend development practices.
Experience building reliable, governed, and high-quality data systems, including data quality, governance, semantic layers, and metric definitions.
Experience enabling analytics and business decision-making through BI and reporting tools such as Tableau, Looker, Metabase, or Qlik.
Strong analytical thinking and the ability to translate complex data into actionable insights for technical and business stakeholders.
Proven ability to collaborate effectively with product managers, analysts, engineers, and business stakeholders to deliver end-to-end data solutions.
Excellent communication and documentation skills.
Fluent Hebrew and English.
