המשרה הזו זמינה כרגע באנגלית.

חזרה למשרות
S

Lead Data Engineer

Skai·ישראל·en
היברידימשרה מלאהData EngineeringMarketing TechnologyEnterprise Software

Lead the technical direction, architecture, and delivery of core production data infrastructure for a global marketing technology platform. Own cloud-based databases, data systems, microservices, and 24/7 operational reliability while combining hands-on engineering with technical leadership.

תחומי אחריות

  • Set the technical direction, architecture standards, and engineering guardrails for cloud-based data systems.
  • Lead architectural reviews, daily pod operations, Scrum processes, roadmap execution, and multi-project delivery.
  • Remain hands-on with code and infrastructure and serve as the primary escalation point for complex production incidents.
  • Oversee operational readiness, on-call rotations, high availability, backup and recovery, monitoring, and automation for 24/7 uptime.
  • Balance technical debt, feature delivery, design trade-offs, scalability, reliability, and infrastructure cost.
  • Mentor engineers, raise technical standards, and support professional development.
  • Coordinate with stakeholders and data infrastructure vendors to align technical execution with business goals.

דרישות

  • At least 5 years of experience in database administration, DevOps, DataOps, or data engineering with hands-on ownership of production databases such as MySQL, SingleStore, or PostgreSQL.
  • Experience designing, operating, and maintaining large-scale data infrastructure, including capacity planning, performance tuning, upgrades, monitoring, and CI/CD.
  • Strong software engineering skills in Python, Java, or Go within a microservices architecture, plus Bash scripting.
  • Hands-on experience with Linux and at least one major cloud provider; AWS is preferred.
  • Experience leading technical design reviews, establishing engineering guardrails, and mentoring engineers.
  • Strong analytical problem-solving skills for complex cross-system production issues in a 24/7 environment.
  • Strong communication, collaboration, and stakeholder management skills.

יתרון

  • Experience with Snowflake, Kafka, Spark, or other modern big data technologies at scale.
  • Experience with Infrastructure as Code tools such as Terraform, Pulumi, or Ansible.
  • Previous experience as a Tech Lead, Team Lead, or Acting Lead on a mission-critical production team.
  • Experience integrating AI tools into engineering or operational workflows.

רלוונטיות

הזדמנויות נוספות

משרות דומות

המשרות הפתוחות החדשות ביותר בתחום Data Engineering.

צור פרופיל כדי לראות את מידת ההתאמה שלך.

צור פרופיל כדי לראות את מידת ההתאמה שלך.