Data Team Lead

This is us

Kaltura’s (NYSE:KLTR) mission is to power any video experience for any organization – live, on-demand, or real-time. We not only want to make using video simpler, but we also want to better people’s lives through video. Founded in 2006, Kaltura is now a global leader in the video market with millions of people using our products daily to teach, learn, watch, connect, and collaborate. Among our customers, you’ll find more than 1000 global, well-known organizations.

15+ years since starting the company, we continue to foster a diverse and collaborative work environment where everyone gets a say. Our team is currently 700+ people, and we’re still growing. We have offices in New York, London, Singapore, and Tel Aviv, but our technology is all in the cloud.

Kaltura has a fast-paced environment where initiative is always encouraged. Together with our hybrid work model and flexible state of mind, you get the right conditions for creative juices to flow freely. Thanks to our long line of products, cultivation of rich collaborative culture and care for each Kalturian, you’ll never run out of room to grow and evolve.

If you don't meet 100% of the requirements below - that's okay, nobody's perfect! We believe in hiring people, not just a list of skills. We encourage you to apply if you think this is a role that would make you excited about coming to work every day.

Requirements:

The role:

We're seeking a driven Data Team Lead to join our dynamic team at Kaltura, spearheading our pioneering video platform as a service. In this leadership role, you will oversee the data engineering team, playing a pivotal role in advancing our data operations. Your expertise will be crucial in steering the team's collaboration with various R&D teams to meet our product roadmap objectives.

The day-to-day:

Lead the development and refinement of ETL infrastructure using Python/Scala/Java, SQL, and advanced AWS technologies like EMR and Redshift.
Drive innovation in our big data platform to efficiently process millions of events daily.
Architect and manage robust, scalable data pipelines that support rapid data growth.
Design and maintain ETL pipelines with enhanced monitoring and alert systems.
Mentor team members on optimizing data models for clarity and accessibility.
Oversee the management of metadata, data catalogs, and documentation to aid business decisions.
Ensure team proficiency in SQL for effective data querying and manipulation.
Direct the use of Databricks for complex data engineering and analytical tasks.

Ideally, we’re looking for:

Demonstrated leadership in managing data engineering teams and overseeing large-scale distributed systems.
Minimum of 5 years in a technical leadership role, with expertise in Python, Scala, or Java.
In-depth knowledge of Big Data technologies like Spark, Kafka, Redshift, Athena, S3, and Kinesis.
Extensive experience with Amazon Web Services, including hands-on experience with Apache Airflow.
Proven ability to excel in ambiguous situations and create innovative solutions.

These would also be nice:

Exceptional problem-solving, analytical, and communication skills, fostering strong team collaboration.
Committed to continuous learning and staying current with industry trends, data engineering best practices, security, and compliance.
Highly adaptable to evolving project requirements and priorities, ensuring flexibility in dynamic environments.

The perks:

Hybrid, flexible work environment
Extended private health (including mental) insurance
Personal and professional development programs
Occasional Cross company long weekends