Rubrik
About this role
This is an architecture seat at Rubrik covering data platform and AI engineering, and the requirement list is unusually broad for a role at this level. Alongside 10 to 15 or more years in data engineering or platform architecture, it asks for deep hands on full stack expertise spanning frontend, backend and DevOps infrastructure, plus experience designing and implementing modern data architectures and cloud data platforms. Snowflake and Tableau or similar technologies are named, and so is expertise in AI and ML platforms and the engineering required to support generative AI at scale. The phrase in the posting worth noting is a shift toward high level technical leadership, which tells you the role expects you to have already made the transition from building systems yourself to setting the direction others build within, while keeping enough hands on depth to be credible.
Who this is for
What the posting requires:
- A Bachelor's or Master's degree in Computer Science, Engineering, Information Systems or a related field.
- 10 to 15+ years in data engineering or platform architecture, with a shift toward high level technical leadership.
- Strong experience designing and implementing modern data architectures and cloud data platforms.
- Deep hands on expertise in full stack development including frontend and backend technologies, and DevOps infrastructure.
- Experience with Snowflake, Tableau or similar technologies.
- Expertise in AI and ML platforms, and the engineering required to support generative AI at scale.
What the work involves, based on how the posting frames the role: architecture ownership across Rubrik's AI data platform, meaning the design of the data foundations and the platform engineering that generative AI capabilities are built on, rather than building individual features. The breadth requirement covering frontend, backend and DevOps suggests the architecture spans a full product surface rather than one layer.
What kind of role this is: an architect title with an explicit expectation of high level technical leadership means influence, standards and direction setting, with hands on credibility as the entry ticket. If you want to be writing production code most days, an architect seat at this level is usually not that, and the posting is honest about the shift it expects.
⚠️ Applying to Rubrik: rubrik.com returns 403 to automated requests, so this listing was verified live through the Greenhouse jobs API rather than by fetching the page directly. It opens normally in a browser.
About the employer: Rubrik builds data security and cyber resilience software for enterprises, protecting and recovering data across cloud, SaaS and on premises environments.
Location and working pattern: Bengaluru, India. Office days are not stated in the posting.
Honest fit guidance: the breadth is the thing to be honest with yourself about. Data platform architecture plus full stack plus DevOps plus generative AI at scale is a lot of surface, and few people are genuinely deep in all of it. Treat the data architecture and AI platform experience as the core, and the rest as areas where working knowledge and good judgement will do. If your background is purely data warehousing without the AI platform side, that is the gap the posting cares about most.
- A Bachelor's or Master's degree in Computer Science, Engineering, Information Systems or a related field.
- 10 to 15+ years in data engineering or platform architecture, with a shift toward high level technical leadership.
- Strong experience designing and implementing modern data architectures and cloud data platforms.
- Deep hands on expertise in full stack development including frontend and backend technologies, and DevOps infrastructure.
- Experience with Snowflake, Tableau or similar technologies.
- Expertise in AI and ML platforms, and the engineering required to support generative AI at scale.
What the work involves, based on how the posting frames the role: architecture ownership across Rubrik's AI data platform, meaning the design of the data foundations and the platform engineering that generative AI capabilities are built on, rather than building individual features. The breadth requirement covering frontend, backend and DevOps suggests the architecture spans a full product surface rather than one layer.
What kind of role this is: an architect title with an explicit expectation of high level technical leadership means influence, standards and direction setting, with hands on credibility as the entry ticket. If you want to be writing production code most days, an architect seat at this level is usually not that, and the posting is honest about the shift it expects.
⚠️ Applying to Rubrik: rubrik.com returns 403 to automated requests, so this listing was verified live through the Greenhouse jobs API rather than by fetching the page directly. It opens normally in a browser.
About the employer: Rubrik builds data security and cyber resilience software for enterprises, protecting and recovering data across cloud, SaaS and on premises environments.
Location and working pattern: Bengaluru, India. Office days are not stated in the posting.
Honest fit guidance: the breadth is the thing to be honest with yourself about. Data platform architecture plus full stack plus DevOps plus generative AI at scale is a lot of surface, and few people are genuinely deep in all of it. Treat the data architecture and AI platform experience as the core, and the rest as areas where working knowledge and good judgement will do. If your background is purely data warehousing without the AI platform side, that is the gap the posting cares about most.
Apply on company site
Opens www.rubrik.com, the employer's own application page. Applying is always free.