דרושים Head of Data Platform בתל אביב

**Silverfort is a cyber-security startup that develops a revolutionary identity protection platform. Using patented technology, our product enables strong authentication across entire corporate networks and cloud environments, without any modifications to endpoints and servers. In addition, we use advanced behavior analytics to apply adaptive authentication policies and prevent cyber-attacks in real time.

Our mission is to provide industry-leading unified identity protection solutions for hybrid and multi-cloud environments. We develop cutting-edge cybersecurity technology that solves urgent customer needs today and is also a game changer for years to come.

Silverfort’s team includes exceptional researchers, engineers, and technology experts who successfully tackle some of the most complex challenges in cyber-security. Silverfort has happy customers worldwide, strong market validation (including several industry awards), strategic partnerships with the largest security vendors in the world, and significant funding from leading VCs.

As Head of Data Platform, you will establish and lead Silverfort’s Data Platform group within the R&D, shaping the long-term data strategy that powers decision-making, product development, and ML innovation across the company. Reporting directly to the VP of R&D, you will own the vision and execution of a modern, scalable, and secure data platform. This is a hands-on leadership roleand you’ll play a key role in building the foundations of our data ecosystem, writing code, making architectural decisions, and growing a high-performing team.

Responsibilities

• Architect, build & own the end-to-end data platform – data warehouses, lakes, streaming systems, orchestration pipelines
• Take an active hands-on role in the design and development of the platform, especially in the early stages
• Set the foundations and build Silverfort’s Data Platform group from scratch – including hiring, mentoring, and setting engineering and operational standards
• Define and drive a multi-year roadmap for platform scalability, cost optimization, and reliability
• Define and monitor metrics and KPIs to measure the health, performance, and impact of our data systems, continuously optimizing for scalability, reliability, and efficiency
• Implement governance, security, and compliance practices – access control, lineage, auditing (GDPR/SOC2)
• Collaborate cross-functionally with product, engineering, and business teams to enable data-driven decisions and innovation

Requirements

• 8+ years in data engineering/platform engineering, with 3+ years in leadership or management roles
• Hands-on experience building and scaling modern data platforms - Snowflake, BigQuery, Databricks, one or more
• Proven experience hiring, mentoring, and managing engineering teams
• Strong knowledge of ETL/ELT pipelines, streaming vs batch, data modeling, distributed systems
• Experience with orchestration and transformation tools (Airflow, dbt, Kafka, Flink, etc.)
• Proven ability to build, mentor, and scale engineering teams
• Excellent communicator - able to partner with technical and non-technical stakeholders, set vision, drive alignment
• Domain experience in high-scale environments - e.g., SaaS, fintech, cybersecurity