Big Data System Architect jobs at Cognyte in Israel

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

As a Cognyter, you will:

- Define the technical vision and strategy for leveraging large language models (LLMs) and advanced ML techniques to enhance our product.

- Oversee the end-to-end ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.

- Contribute hands-on when needed, designing experiments, writing reusable code, evaluating models, and interpreting results.

- Take an active leadership role in agile processes, design reviews, brainstorming sessions, and knowledge-sharing forums.

To succeed in this role, you will need:

- An M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related field.

- 4+ years of hands-on experience building and deploying ML solutions.

- 2+ years of proven leadership experience managing and growing high-performing data science or ML teams.

- Strong expertise in Large Language Models (LLMs) and Generative AI.

- Deep experience with ML pipelines, including training, tuning, deployment, monitoring, and model versioning.

- Knowledge of optimization techniques such as quantization, pruning, and performance tuning.

- Familiarity with GenAI tools and frameworks: LangChain, RAG, vector databases, transformers, vLLM.

- Excellent communication skills with the ability to influence, inspire, and align stakeholders.

Apply now.

Today’s world is crime riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

We’re looking for a skilled and driven

As Cognyter you’ll make an impact on:

• Design and develop real-time and batch data pipelines using modern frameworks and distributed systems.
• Build robust, scalable, and fault-tolerant ETL workflows to handle high-volume structured and unstructured data.
• Model and maintain efficient, query-optimized data structures across SQL, NoSQL, and search engines.
• Collaborate with customers, field engineers, and delivery teams to deploy and support data systems in real environments — both cloud-based and on-premise.
• Own and maintain the reliability, observability, and performance of data flows and infrastructure.
• Stay up to date with data engineering trends and recommend best-fit solutions for evolving business needs.

For that mission you’ll need:

• 5+ years of hands-on experience in Java or Python in data engineering or backend systems.
• Solid knowledge of Docker, Kubernetes, and containerized architecture.
• Strong understanding of multithreaded, concurrent, and distributed system design.
• Experience building and orchestrating ETL pipelines using tools like Airflow, Apache NiFi, or similar.
• Expertise in data modeling, both for SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Experience with search engines like ElasticSearch and/or graph databases.
• Proficiency with streaming platforms like Kafka, Flink, or Spark Streaming.
• Understanding of pipeline observability and data quality best practices.
• Excellent communication and problem-solving skills, especially in customer-facing or cross-team contexts.
• Fluency in spoken and written English.

Bonus Points For

• Experience with real-time event processing at scale.
• Previous work in data architecture, including data lake design, schema evolution, and partitioning strategies.
• Proven experience managing and deploying on-premise data infrastructure (Kafka, Elasticsearch, Airflow, NiFi, etc.).
• Familiarity with hybrid setups that integrate cloud and on-prem environments.
• Industry knowledge in cybersecurity, telecom, or other data-heavy domains.
• Background in consulting, customer support, or solution delivery roles.

Availability

• Must be available for at least one flight per 2 months to collaborate with customers on-site.

Apply now.

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

Architectural Alignment and Unification:

• Collaborate with Cognyte’s multiple product house architects to align and unify architectural concepts.
• Identifying similar components, modules and capabilities and suggesting ways to streamline the development, deployment and use of these.
• UX Principles and guidelines, including naming conventions
• Aligned APIs, including creating a common Query Language
• Microservices and detachable/sharable analytical capabilities
• Media enrichment platform, including callback capabilities
• Public cloud, Kubernetes on-prem, etc.
• Media enrichment platform, including callback capabilities
• Public cloud, Kubernetes on-prem, etc.

Outbound Solution Architecture for Sales:

• Work with Sales in a Solution Architect capacity to define blueprints for customer requests.
• Develop packaged solutions that integrate multiple products (Cognyte and third-party).
• Ensure solutions are functional, architecturally solid, and reproducible.

For that mission you’ll need:

• >5 Years in a software architecture role, embedded in cloud environments preferably in a mid-large SW vendor.
• Deep familiarity with Complex SW solutions and their architecture.
• Proven experience in architectural alignment and unification.
• Strong understanding of UX principles, APIs, microservices, media enrichment platforms, single sign-on, and cloud technologies.
• Excellent negotiation, patience, and practicality skills.
• Ability to work closely with various architects and VPs of R&D.
• Experience in developing solutions for customer wins.

Preferred Skills:

• Strong communication and collaboration skills.
• Ability to move companies from a "one of its kind" solution to a "first of its kind" solution.
• Experience in creating reproducible and scalable solutions.

Apply now.

Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…

Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.

As a Cognyter Pre-Sale Manager, you will:

• Lead solutions/presale activities for innovative Big Data & Fusion Analytics platform for the Security, Public Sector, Civil, Financial and Critical Utilities segments
• Manage customer-facing activities, including commercial and technical sessions, product demonstrations and presentations
• Provide input and assisting account managers on all commercial and technical components related to accounts
• Support sales enablement, product presentations and POCs for prospects, customers, and distributors.
• Lead the RFx response team throughout the sales cycle, including requirements mapping, high-level solution design, solution sizing, budget, and pricing strategy.

For that mission you’ll need:

• 5+ years’ experience as presale/solution engineer in a global high-tech company - advantage
• Ability to work independently as customers technical/presale key focal point, while promoting company goals
• Excellent English communication and presentation skills
• Proven public speaking skills, capable of delivering technical presentations to both technical and executive audiences
• The position requires frequent travel in the associated territory (50% of the time)
• Good business orientation, understanding company goals and striving to achieve them
• Russian - Must

Preferred Skills and Experience:

• Background in intelligence technologies and methodologies
• Background in Big Data, Machine Learning, Fusion Analytics

Apply now.