
Senior Big Data Solutions Architect
3 days ago
Come work at a place where innovation and teamwork come together to support exciting missions.
We are seeking a talented engineer to deliver roadmap features of our Enterprise TruRisk Platform. This platform helps customers measure, communicate, and eliminate cyber risks.
As a lead big data engineer, you will be responsible for prototyping, designing, developing, and supporting a highly scalable, distributed SaaS based security risk prioritization product.
This is a fantastic opportunity to be an integral part of a team building our next-generation platform using big data & micro-services based technology to process over billions of transactions data per day. You will leverage open-source technologies and work on challenging and business-impacting initiatives.
Key Responsibilities:
- 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.
- Liaison to 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 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 competing systems.
- Able to document details so it's easy for developers to understand requirements.
- Assist developers with proper requirements and directions.
- Assist in career development of others, actively mentoring individuals and the community on advanced technical issues.
- Exert technical influence over multiple teams, increasing productivity and effectiveness by sharing deep knowledge and experience.
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