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.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה
30,000-45,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

We're building the data foundation that will power at massive scale. We're looking for a battle-tested Data Engineering Tech Lead who has built and scaled data infrastructure at companies where the bar is exceptionally high.
This is a ground-up, architect-and-build role. You'll own the entire data infrastructure layer - caching, indexing, storage architecture, scalability patterns - and set the standard for how data flows across the organization at scale.
What Youll be Doing:
Own and architect \entire data infrastructure from the ground up - storage, caching, indexing, and platform foundations.
Make the hard technology calls: which databases, caching layers, orchestration systems, and data patterns we adopt - and why - based on scale, performance, and long-term engineering excellence.
Drive data scalability across the engineering organization, partnering closely with platform, backend, and product engineers.
Lead hands-on - you design, you build, you review, you mentor.

Requirements:
10+ years in data engineering, with significant time spent at fast-moving, high-scale tech companies.
Deep expertise in database architecture across OLTP, OLAP, NoSQL, and columnar systems, including MongoDB/Atlas, PostgreSQL, Redis, Elasticsearch, ClickHouse, and Couchbase.
Proven hands-on experience with DAG-based workflow orchestration systems such as Apache Airflow, Temporal, Prefect, Dagster, or similar - designing, scaling, and operating complex pipeline workflows in production.
Hands-on with cloud-native data infrastructure (AWS/GCP/Azure) and deep experience with data lake platforms - Databricks, Snowflake, BigQuery, or similar - including streaming and batch pipelines at scale.
Hands-on experience with event-driven architectures and event sourcing patterns (e.g., Kafka, Kinesis, or similar), with strong command of distributed systems principles - partitioning, replication, consistency trade-offs.
Who You Are:
Exceptional communicator - able to lead cross-functional design and implementation, work fluidly with engineers, product managers, and senior stakeholders, and drive execution across organizational boundaries.
A true people person - thrives working alongside talented teams, leaves ego at the door, and brings a can-do attitude to every challenge.

This position is open to all candidates.