Data Architect

4 Months ago • 5 Years +

Data Analysis

Job Description

The Data Architect will spearhead the development of data processes and modeling for CyberArk products. The role involves creating and popularizing best practices in the data field. The architect will lead the development of these processes from CyberArk's services and deliver them to production. Collaboration with software engineers, architects from the AI, Data & Research unit, R&D teams, product managers and data scientists will be essential to identify opportunities and specify data requirements.

Good To Have:

Data Warehouse technologies (especially Snowflake)
AWS ecosystem (Glue, Athena, Kinesis, Redshift, SageMaker, EMR) – an advantage
Experience with Data Science (Scikit-learn / TensorFlow / PyTorch, etc.) – an advantage
Background in cyber security – an advantage
Managerial experience in the data engineering field – an advantage

Must Have:

5+ years of data modeling techniques
5+ years of experience in designing and implementing data ingestion / ETL processes
5+ years of hands-on experience in SQL and Python / Pyspark (or Java / Scala)
Data landscape understanding from vendor-specific to open-source

Add these skills to join the top 1% applicants for this job

team-player

aws

hadoop

data-science

scikit-learn

pytorch

python

sql

scala

tensorflow

java

Company Description

About CyberArk:
CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on Twitter, LinkedIn or Facebook.

Job Description

What you will do:

CyberArk is looking for an experienced and highly motivated Data Architect with high professional skills to join our AI, Data & Research unit.

Spearhead the development of data processes and modeling for CyberArk products; create and popularize best practices in the data field.

You will lead the development of these processes from a rich portfolio of CyberArk's services, and deliver them to production.
Work closely with software engineers and architects from the AI, Data & Research unit as well as R&D teams.
Work closely with product managers and data scientists to identify opportunities and help specify requirements for data.

#LI-Hybrid

#LI-OS1

Qualifications

What you need to succeed:

5+ years of data modeling techniques and concepts - such as Facts, Dimension, Partitions, etc.
5+ years of experience in designing and implementing data ingestion / ETL processes and 3rd party tools, preferably with experience in Data Lakehouse and Data Warehouse architecture
5+ years of hands-on experience in SQL and Python / Pyspark (or Java / Scala)
Data landscape understanding from vendor-specific to open-source (e.g. Snowflake/Redshift, DataBricks, Iceberg, Hadoop , DBT)
A versatile, proactive, team player, can-do attitude, quick learner, and a great executor

How you will stand out from the crowd:

Data Warehouse technologies (especially Snowflake)
AWS ecosystem (Glue, Athena, Kinesis, Redshift, SageMaker, EMR) – an advantage
Experience with Data Science (Scikit-learn / TensorFlow / PyTorch, etc.) – an advantage
Background in cyber security – an advantage
Managerial experience in the data engineering field – an advantage

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