Big Data Architect Leader

We are seeking a highly skilled and innovative Lead Big Data Engineer to join our team. This is a fantastic opportunity to be part of a team building a next-generation platform using Big Data & Micro-Services based technology.

The ideal candidate will have a strong background in data platform design, architecture, and engineering. They will be responsible for delivering roadmap features of the Enterprise TruRisk Platform, which helps customers measure, communicate, and eliminate cyber risks.

• Be the thought leader in data platform and pipeline along with risk evaluation.
• Provide technical leadership to the engineering organization on data platform design, rollout, and evolution.
• Liaise with product teams, professional services, and sales engineers on solution and trade-off reviews and represent engineering in such conversations.
• Drive technology explorations and roadmaps.
• Serve as a technical lead on our most demanding, cross-functional departments.
• Ensure the quality of architecture and design of systems.
• Functionally decompose complex problems into simple, straightforward solutions.
• Fully understand system interdependencies and limitations.
• Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
• Leverage knowledge of internal and industry prior art in design decisions.
• Effectively research and benchmark cloud technology against other competing systems in the industry.
• Able to document the details so it will be easy for developers to understand the requirements.
• Assist developers with proper requirements and directions.
• Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members.
• 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.

• Bachelor's degree in computer science or equivalent.
• 8+ years of total experience.
• 4+ years of relevant experience in design and architecture of Big Data solutions using Spark.
• 3+ years of experience working with engineering resources for innovation.
• 4+ years of experience understanding Big Data events flow pipeline.
• 3+ years of experience in performance testing for large infrastructure.
• 3+ In-depth experience in understanding various search solutions (Solr/Elastic).
• 3+ years of experience in Kafka.
• In-depth experience in Data lakes and related ecosystems.
• In-depth experience of message queues.
• In-depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments.
• In-depth experience in understanding caching components or services.
• 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 in working with ML models engineering and related deployment.
• Design and implement secure big data clusters to meet many compliance and regulatory requirements.
• Experience in leading 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.
• Experience with Agile Management (SCRUM, RUP, XP), OO Modeling, working on internet, UNIX, Middleware, and database-related projects.
• Experience mentoring/training the engineering community on complex technical issues.
• Project management experience.