עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Experis Software
- תל אביב - יפו
-
Experis Software
- תל אביב - יפו
-
מלאה
-
45,000-65,000 ₪
הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק -
In this role you will lead data Engineering managers, senior technical leaders, and engineering teams while defining the long-term vision for our data ecosystem. Working closely with executive and cross-functional stakeholders, you will drive innovation, deliver measurable business value, and build the foundation for future AI capabilities.
We are looking for a strategic leader with a proven track record of scaling high-performing data & AI organizations, combining deep technical expertise with strong business acumen and the ability to lead large engineering teams in complex, high-scale environments.
We are looking for a strategic leader with a proven track record of scaling high-performing data & AI organizations, combining deep technical expertise with strong business acumen and the ability to lead large engineering teams in complex, high-scale environments.
Requirements:
15+ years of experience within data Engineering, Big Data, data Platform, or related domains.
10+ years of leadership experience managing engineering teams.
5+ years of experience managing managers and senior engineering leaders.
Proven success building and scaling data Engineering or data & AI organizations in complex, high-growth environments.
Deep hands-on and architectural expertise across: data Warehouses, data Lakes and Lakehouse architectures, Batch and Real-Time processing systems, data pipelines and orchestration frameworks, data governance and quality programs, DataOps and MLOps methodologies, data compliance and regulatory frameworks.
Experience owning business-critical platforms with measurable performance and KPI outcomes.
Strong understanding of cloud-native data architectures and distributed systems.
15+ years of experience within data Engineering, Big Data, data Platform, or related domains.
10+ years of leadership experience managing engineering teams.
5+ years of experience managing managers and senior engineering leaders.
Proven success building and scaling data Engineering or data & AI organizations in complex, high-growth environments.
Deep hands-on and architectural expertise across: data Warehouses, data Lakes and Lakehouse architectures, Batch and Real-Time processing systems, data pipelines and orchestration frameworks, data governance and quality programs, DataOps and MLOps methodologies, data compliance and regulatory frameworks.
Experience owning business-critical platforms with measurable performance and KPI outcomes.
Strong understanding of cloud-native data architectures and distributed systems.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
תל אביב - יפו
