Data Architect

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

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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