Data Solution Architect - Team Lead jobs in Israel

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

: Python, Linux & Windows internals, Container Runtimes, Postgres, Redis, Kafka, AWS, GCP, Azure

• Design, implement, and maintain scalable backend services for scanning and analyzing cloud workloads (VMs, containers, buckets, databases, etc..)
• Build infrastructure for reconstructing file systems across different operating systems (Linux and Windows) to enable deep analysis
• Integrate security detection engines for vulnerabilities, secrets, compliance, and malware
• Collaborate with security researchers and product managers to translate complex requirements into impactful product features
• Write clean, efficient, and testable code, ensuring high performance and reliability
• Participate in design and code reviews to uphold technical excellence and team standards
• Lead features end-to-end – from design and planning to deployment and monitoring
• Improve system observability, performance, and resilience in production environments
• Stay current with developments in the cloud security landscape, vulnerability management, and OS internals

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5+ years of professional software development experience
• Strong experience building backend services or distributed systems
• Hands-on experience with Python
• Solid understanding of operating system internals
• Familiarity with vulnerability management concepts or tooling
• Experience with major cloud providers (Amazon Web Services, Google Cloud, Microsoft Azure)
• Strong foundation in software design principles, concurrency, memory management, data structures, and algorithms
• Passionate about building great products and solving real-world security challenges
• Self-driven, proactive, and comfortable taking ownership and initiative
• A strong communicator and a true team player who thrives in a collaborative environment

• Familiarity with container internals and runtime security
• Experience with large-scale file system analysis, malware analysis, or digital forensics
• Background in cybersecurity, especially in cloud security domains

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.

In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.

• 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
• Proven experience in SQL writing, specifically in querying large and complex data sets
• Experience in BI tools and in DBT/Python
• Looker proficiency – an advantage
• Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
• B.Sc./BA in industrial/information systems engineering, statistics or equivalent
• Experience in operational or cross-department roles – an advantage
• Great communication skills
• Business orientation and a passion for data analytics
• High level of spoken and written English

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

You will manage a team of world-class researchers, work closely with product, engineering and go-to-market teams, and ensure our research remains cutting-edge, rigorous and impactful.

• Develop, own and evolve the research strategy by defining high value focus areas such as cloud misconfigurations, identity threats, workload vulnerabilities and side channel attacks, and ensuring alignment with Orca’s product roadmap and business objectives.
• Lead, coach, and mentor a multidisciplinary research team of cloud-security experts, threat analysts, and software engineers.
• Define metrics for research impact: e.g., number of vulnerabilities discovered, mean time to detection of new threats, number of research-driven product innovations.
• Leverage large-scale data analysis and AI/ML tools to identify trends, automate detection, and enhance cloud threat intelligence.
• Identify and drive discovery of new vulnerabilities, attack techniques or adversary behaviors targeting cloud platforms, containers, serverless, data stores etc.
• Stay current with the threat-landscape, emerging technologies, adversary tactics, and regulatory/compliance changes affecting cloud security.
• Collaborate with product, engineering and R&D teams to ensure research insights translate into concrete features, detection logic, and customer value.
• Manage the research resource planning, tooling/infrastructure for the research function – including sandbox environments, data analysis tooling, and attack simulations.
• Establish partnerships with external research groups, academic institutions, and industry peers to amplify our capabilities and knowledge network.
• Publish research findings (blog posts, white-papers, conference talks) to elevate Orca’s reputation as a cloud-security innovator.
• Influence the broader security community through vulnerability disclosures, advisory publications, industry working groups, and open research collaboration.

• 7+ years in security research, threat intelligence, vulnerability discovery or related roles, with experience and passion for leadership.
• Proven experience in managing a team – mandatory
• Deep technical knowledge of cloud infrastructure (AWS, GCP, Azure), containerization (Kubernetes, Docker), serverless, IAM, data storage, code repositories and associated threat vectors.
• Proven ability to write production-quality code, particularly in Python and Go.
• Deep experience with data systems: SQL and NoSQL databases (e.g., PostgreSQL, BigQuery, Elasticsearch, or similar).
• Experience applying data analysis, machine learning, or AI-assisted tools (e.g., LLMs, automated pattern recognition, or anomaly detection) to security research.
• Proven track record of publishing and presenting research (vulnerability advisories, conference talks, white-papers), and translating research into product/detection capabilities.
• Hands-on ability: understanding of reverse engineering, exploit development, or other cutting-edge security techniques.
• Strong leadership and organizational skills: building and scaling a team, setting vision, driving execution.
• Excellent communication skills: able to share technical insights with engineering, product, senior leadership, and external audience.
• Strategic thinker with strong business acumen and the ability to align research activities with company objectives.

• Experience building or contributing to security-product codebases (e.g. scanning engines, detection frameworks, or telemetry pipelines).