Big Data System Architect

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.

For 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.

We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.

Who you’ll be working with:

Our team is a highly experienced and talented group of professionals, united by strong collaboration and cohesion. As a central and indispensable focal point for the company, we specialize in providing practical solutions and well-thought-out designs to address technical problems and meet product requirements.

As a Cognyter you will:

• Participate in the design of a true Big Data platform that collects information from a variety of network technologies
• Researching for new innovative technologies to improve system architecture and to introduce new Database and Storage capabilities
• Analyzing requirements from product roadmap and customer projects, transforming them into detailed software design documents and effort estimations
• Working closely with R&D and product management in Agile methodology, to design scalable, fail-proof and high-performance solutions
• Providing detailed solution architecture and effort estimation as part of presale activities
• Providing expertise and technical guidance to the R&D teams
  
  

• BSc in computer science or equivalent degree
• 3+ years in technical leadership/architecture roles
• 7+ years of background in software development (Java, Relational DB)
• Proven experience with on-premise system-level architecture of large-scale and complex systems
• Proven knowledge and Expertise in various Data store technologies:
• Relational databases (e.g. PostgreSQL, MariaDB) or other equivalent.
• S3, Redis, ElasticSearch
• HDFS, Parquet, Iceberg, Hive, Presto, Trino
• Proven experience with Big Data technologies (Spark, Kafka) and Cloud-Native environments (Kubernetes, Openshift/Tanzu/Rancher)
• Strong verbal and written communication and interpersonal skills
• An endlessly curious mind with a drive for new challenges
• Work experience in a global company, customer-facing
  
  

• Experience in one of the following Data Store technologies: Greenplum, Sybase, SingleStore, Couchbase
• Experience in Cyber Security
• Experience in Mobile and IP Networks