Data Team Lead

5 hours ago

Ramat Gan, Tel Aviv, Israel Edikted Full time ₪50,000 - ₪60,000 per year

Edikted
is a trend-driven global Gen-Z fashion brand that brings pop-culture vibes and must-have styles straight to your closet.

We're looking for a
Data Team Lead
to lead and scale our data engineering team, own our data platform end-to-end, and partner with cross-functional teams to drive innovation and business growth through data. This role combines leadership and technical depth - perfect for someone who enjoys managing people while remaining deeply involved in engineering execution.

Responsibilities:

  • Lead and mentor the data engineering team, setting goals, providing guidance, and fostering growth.
  • Design and maintain scalable data architecture across ingestion, warehousing, modeling, and governance.
  • Collaborate with Product, Analytics, and Engineering teams to deliver data solutions that power key business decisions.
  • Partner with the VP Analytics to shape and optimize our BI and analytics infrastructure.
  • Stay hands-on: build and review pipelines, ensure data quality, and improve system performance.
  • Establish and uphold best practices in testing, CI/CD, documentation, and data governance.
  • Define team roadmaps, set priorities, and communicate effectively with all stakeholders.

Requirements:

  • 6+ years of experience in data engineering, including at least 2 years in a leadership or team lead role.
  • Proven experience designing and maintaining modern cloud-based data architectures (batch and streaming).
  • Strong SQL and Python skills with deep understanding of data modeling and transformation frameworks.
  • Hands-on experience with orchestration tools (e.g., Airflow, Prefect) and dbt.
  • Experience working with major data warehouses (BigQuery, Snowflake, Redshift, or Databricks).
  • Familiarity with data quality and observability tools (e.g., dbt tests, Great Expectations, Soda).
  • Excellent communication and leadership skills, with the ability to drive both strategy and execution.

Nice to Have:

  • Experience in eCommerce or consumer data environments.
  • Knowledge of event streaming and customer data tools (Kafka, Segment, GA4).
  • Exposure to experimentation platforms or ML feature stores.
  • Understanding of data privacy and governance (GDPR, RBAC, data retention).

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