Data Engineering Team Leader

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:

The AI, Data & Research unit is at the forefront of CyberArk’s innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for an experienced and passionate Data Engineering Team Leader to lead a team of 5 seasoned data engineers. You will play a critical role in designing and delivering scalable, reliable data infrastructure and ETLs, enabling our machine learning, analytics, and product teams to deliver maximum impact.

• Lead and grow a high-performing team of experienced data engineers.
• Define and implement the team’s technical roadmap, ensuring alignment with AI, Data, and Research’s achieving strategic objectives and product roadmap.
• Own the development, and operation of robust, scalable, and efficient data pipelines and services.
• Oversee the quality, performance, and maintainability of the team’s codebase and delivered solutions.
• Manage delivery plans, track progress, resolve blockers, and ensure on-time delivery.
• Drive best practices in software engineering, data modeling, data quality, code quality, security, observability, and operational excellence.
• Translate business and research requirements into scalable technical data solutions.
• Foster a culture of ownership, collaboration, continuous learning, drive improvement and innovation within the team.
• Actively mentor team members, guide career development, and conduct regular performance reviews.
  
  

• Bachelor’s degree in computer science, Software Engineering, or a related field.
• 3+ years of experience as a data engineering team leader in a product-based company.
• 5+ years of hands-on in SQL and Python / Pyspark (or Java / Scala), data modeling techniques and concepts - such as Facts, Dimension, Partitions, etc.
• Experience in designing and implementing data ingestion, ETL processes and 3rd party tools, preferably with experience in Data Lakehouse and Data Warehouse architecture
• Proven experience with CI/CD processes and agile development methodologies.
• Strong interpersonal and communication skills.
• Demonstrated ability to manage and develop a team with varying levels of experience.
• Skilled in identifying risks, tracking progress, and resolving technical challenges proactively.
• Self-motivated and goal-oriented with a high work ethic.
• Ability to balance long-term architectural vision with fast-paced delivery, in early-stage development or startup environment.
  
  

• 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