About the job
About the Role:
As a Senior Manager of Platform & Architecture at Rubrik, you will spearhead the definition, governance, and ongoing advancement of our enterprise data architecture vision and roadmap. Your leadership will ensure robust alignment with our business strategy and digital transformation objectives. You will be responsible for establishing modern, secure, and scalable data platform architectures that empower advanced analytics, AI/ML, generative AI, and self-service data capabilities throughout the organization.
Your strategic leadership will focus on embedding AI into our enterprise data platform, facilitating use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring adherence to responsible AI practices, model governance, data quality, and regulatory compliance.
This position demands profound expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, complemented by exceptional people and stakeholder management skills. You will guide the evaluation and integration of emerging technologies, oversee proof of concept (PoC) initiatives, and drive the operationalization of AI/ML and GenAI solutions.
Collaborating closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high-performing, and future-ready data and AI platforms that scale with our organizational needs.
What You'll Do:
Strategic Leadership & Architecture Vision
- Define and own the enterprise data architecture vision and roadmap aligned with the business strategy.
- Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics.
- Guide architectural decisions to support scalability, performance, security, and future growth.
- Evaluate and approve new data technologies, platforms, and tools.
Team Management & Development
- Lead, mentor, and manage data modelers, architects, platform engineers, and data engineers.
- Set goals, conduct performance reviews, and support career growth and skills development.
- Ensure effective workload planning, prioritization, and resource allocation.
- Promote a culture of collaboration, documentation, and architectural discipline.
Data Platform & Architecture Design
- Design and oversee end-to-end data architectures, including ingestion, storage, processing, analytics, and consumption layers.
