Required Data Platform Team Lead
Tel Aviv-Yafo, Gush Dan, Israel
About the Role:
Atop player in its game and is heading for an exciting year.
In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!
What youll do: As the Team Leader for Data Platform, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. Youll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!
Responsibilities:
Lead and guide the Data Engineering team in the design and deployment of scalable data infrastructure.
Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.
Tel Aviv-Yafo, Gush Dan, Israel
About the Role:
Atop player in its game and is heading for an exciting year.
In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!
What youll do: As the Team Leader for Data Platform, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. Youll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!
Responsibilities:
Lead and guide the Data Engineering team in the design and deployment of scalable data infrastructure.
Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.
Requirements:
5+ years of software engineering experience, with at least 2 years in a leadership capacity.
Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) and cloud platforms (AWS, GCP, Azure).
Proficiency in programming languages such as Python, Java, Scala, or Go.
Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration.
Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.
Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment.
Advantages:
Bachelors degree in Computer Science or a related field.
Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes.
Familiarity with databases (Postgres SQL, Redis) and Kubernetes.
Background in identity management, risk assessment, or fraud detection.
5+ years of software engineering experience, with at least 2 years in a leadership capacity.
Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) and cloud platforms (AWS, GCP, Azure).
Proficiency in programming languages such as Python, Java, Scala, or Go.
Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration.
Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.
Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment.
Advantages:
Bachelors degree in Computer Science or a related field.
Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes.
Familiarity with databases (Postgres SQL, Redis) and Kubernetes.
Background in identity management, risk assessment, or fraud detection.
This position is open to all candidates.
