Data Platform Team Lead (Cybersecurity)

TL;DR

Data Platform Team Lead (Cybersecurity): Designing and deploying scalable data infrastructure for an innovative SaaS product with an accent on distributed computing and security. Focus on leading the data engineering team, managing technical backlogs, and ensuring the performance and scalability of global data solutions.

Location: Hybrid in Tel Aviv-Yafo, Israel

Company

hirify.global provides businesses with modern tools to build secure, trusted, and end-to-end digital identity journeys via its xCIAM platform.

What you will do

• Lead and guide the Data Engineering team in the design and deployment of scalable data infrastructure.
• Collaborate with cross-functional teams, including Data Science and Security, to align business needs and security standards.
• Manage the technical backlog and make critical decisions on product milestones to ensure secure, high-quality delivery.
• Foster team growth through mentorship, personal development opportunities, and continuous improvement.
• Identify and mitigate security risks across the data platform to maintain high institutional standards.
• Define and implement methodologies to guarantee the performance, scalability, and quality of the 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.
• Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.
• Ability to excel in a fast-paced, dynamic production environment.
• Must be based in or be able to work hybrid in Tel Aviv-Yafo, Israel

Nice to have

• Bachelor’s 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.