
Chief Data Architect
7 days ago
We are seeking a talented Chief Data Architect to design and deliver Enterprise TruRisk Platform features that help customers measure, communicate, and eliminate cyber risks.
This is a fantastic opportunity to be an integral part of a team building Qualys next generation platform using Big Data & Micro-Services based technology to process over billions of transactions data per day, leverage open-source technologies, and work on challenging and business-impacting initiatives.
Required Skills and QualificationsWe are looking for someone with:
- Bachelor's degree in computer science or equivalent
- 8+ years of total experience
- 4+ years of relevant experience in designing and architecting Big Data solutions using Spark
- 3+ years experience working with engineering resources for innovation
- 4+ years experience understanding Big Data events flow pipeline
- 3+ years experience in performance testing for large infrastructure
- 3+ years experience with Kafka
- In-depth experience with data lakes and related ecosystems
- In-depth experience giving requirements to build scalable architecture for Big Data and Micro-services environments
- Knowledge in Presto technology
- Knowledge in Airflow
- Hands-on experience in scripting and automation
- In-depth understanding of RDBMS/NoSQL, Oracle, Cassandra, Kafka, Redis, Hadoop, lambda architecture, kappa, kappa++ architectures with Flink data streaming and rule engines
- Experience working with ML models engineering and related deployment
This role offers:
- Opportunity to lead the delivery of large-scale systems focused on managing the infrastructure layer of the technology stack
- Strong experience in doing performance benchmarking testing for Big Data technologies
- Strong troubleshooting skills
- Experience leading development life cycle process and best practices
- Experience in Big Data services administration would be added value
You will have the opportunity to:
- Assist developers with proper requirements and directions
- Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience
- Able to share knowledge and train others
This is a great chance to grow professionally and contribute to innovative projects.
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