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.
This role will report to R&D Director.
Why is this role so important?
Our R&D team transforms petabytes of data into digital insights for our customers, on a daily basis. This means that we are always on the lookout for new ways to make those processes more efficient, reliable, and scalable and make our big data engineers more professional.
We are looking for a Data Architect to define the optimal way of processing data, design and lead complex data architecture solutions within our group and with our R&D partners and interfaces, be part of a team of principle engineers that provides guidance and mentoring to all of our group engineers, conduct POCs on cutting edge technologies to improve our infrastructure, leading cross group infrastructure features, and be the focal for architecture solution with other groups architects.
You will impact the work of dozens of engineers and data scientists, by defining and implementing most suitable ways of data processing and influence our customers by providing top notch infrastructure for a flawless data delivery.
So, what will you be doing all day?
Your role as Data Architect means your daily responsibilities may include:
Define and implement standards and best practices for data engineering teams
Lead improvements to our data processing infrastructure
Research, POC and implement new data technologies
Improve our Data Lake
Mentor data processing and data delivery teams
Design and lead complex data architecture within the group and with our r&d partners.
This is the perfect job for someone who:
Holds a BSc degree in Computer Science or equivalent - must.
Has at least 3 years of experience as a Data Architect /or Team Lead / or Principal Big Data Engineer- over a group of minimum 15 or more developers - a Must !
Has at least 5 years of experience as data engineers in a big data environment
Deep knowledge and understanding of modern data stacks and technologies
Deep knowledge and understanding of AWS cloud, Spark, Airflow- Must !
Sage Maker, Databricks - an advantage
Good knowledge of databases: relational, key value stores, document DBs and analytical DBs
Experience with ML ops - big advantage.
Have excellent leadership, communication and collaboration skills with the ability to provide constant dialog between engineering teams.
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.