Data Engineering Team Leader
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1 Vacancy
Job Description
What you will do:
The AI Data & Research unit is at the forefront of CyberArks 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 teams technical roadmap ensuring alignment with AI Data and Researchs 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 teams 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.
#LI-Hybrid
#LI-OS1
Qualifications :
What you need to succeed:
- Bachelors 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 ofhands-on in SQL and Python / Pyspark (or Java / Scala) data modeling techniques and concepts - such as Facts Dimension Partitions etc.
- Experience in designing and implementingdata ingestionETL 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.
Additional Information :
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
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
